AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2023
Augello, Agnese; Gaglio, Salvatore; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Roboception and Adaptation in a Cognitive Robot Journal Article
In: Robotics and autonomous systems (Print), pp. 104400, 2023, ISSN: 0921-8890.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Humanoid Robots, Reinforcement Learning, Roboceptions, Sensor systems, Social Robots
@article{augelloRoboceptionAdaptationCognitive2023,
title = {Roboception and Adaptation in a Cognitive Robot},
author = { Agnese Augello and Salvatore Gaglio and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1016/j.robot.2023.104400},
issn = {0921-8890},
year = {2023},
date = {2023-01-01},
journal = {Robotics and autonomous systems (Print)},
pages = {104400},
abstract = {In robotics, perception is usually oriented at understanding what is happening in the external world, while few works pay attention to what is occurring in the robot's body. In this work, we propose an artificial somatosensory system, embedded in a cognitive architecture, that enables a robot to perceive the sensations from its embodiment while executing a task. We called these perceptions roboceptions, and they let the robot act according to its own physical needs in addition to the task demands. Physical information is processed by the robot to behave in a balanced way, determining the most appropriate trade-off between the achievement of the task and its well being. The experiments show the integration of information from the somatosensory system and the choices that lead to the accomplishment of the task.},
keywords = {Cognitive Architectures, Humanoid Robots, Reinforcement Learning, Roboceptions, Sensor systems, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In robotics, perception is usually oriented at understanding what is happening in the external world, while few works pay attention to what is occurring in the robot's body. In this work, we propose an artificial somatosensory system, embedded in a cognitive architecture, that enables a robot to perceive the sensations from its embodiment while executing a task. We called these perceptions roboceptions, and they let the robot act according to its own physical needs in addition to the task demands. Physical information is processed by the robot to behave in a balanced way, determining the most appropriate trade-off between the achievement of the task and its well being. The experiments show the integration of information from the somatosensory system and the choices that lead to the accomplishment of the task.
Augello, Agnese; Città, Giuseppe; Gentile, Manuel; Lieto, Antonio
A storytelling robot managing persuasive and ethical stances via act-r: an exploratory study Journal Article
In: International Journal of Social Robotics, vol. 15, no. 12, pp. 2115–2131, 2023, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Ethical Argumentation, Ethics, Persuasive Systems, Social Agents, Social Robots, Storytelling Robots
@article{agnese_augello_storytelling_2023,
title = {A storytelling robot managing persuasive and ethical stances via act-r: an exploratory study},
author = {Agnese Augello and Giuseppe Città and Manuel Gentile and Antonio Lieto},
doi = {doi:10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Social Robotics},
volume = {15},
number = {12},
pages = {2115–2131},
series = {Springer Netherlands},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants.},
keywords = {Ethical Argumentation, Ethics, Persuasive Systems, Social Agents, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants.
Augello, Agnese; Gaglio, Salvatore; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Roboception and adaptation in a cognitive robot Journal Article
In: Robotics and autonomous systems (Print), pp. 104400, 2023, ISSN: 0921-8890.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Humanoid Robots, Reinforcement Learning, Roboceptions, Sensor systems, Social Robots
@article{augello_roboception_2023,
title = {Roboception and adaptation in a cognitive robot},
author = {Agnese Augello and Salvatore Gaglio and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
url = {https://www.sciencedirect.com/science/article/pii/S0921889023000398},
doi = {10.1016/j.robot.2023.104400},
issn = {0921-8890},
year = {2023},
date = {2023-01-01},
journal = {Robotics and autonomous systems (Print)},
pages = {104400},
abstract = {In robotics, perception is usually oriented at understanding what is happening in the external world, while few works pay attention to what is occurring in the robotś body. In this work, we propose an artificial somatosensory system, embedded in a cognitive architecture, that enables a robot to perceive the sensations from its embodiment while executing a task. We called these perceptions roboceptions, and they let the robot act according to its own physical needs in addition to the task demands. Physical information is processed by the robot to behave in a balanced way, determining the most appropriate trade-off between the achievement of the task and its well being. The experiments show the integration of information from the somatosensory system and the choices that lead to the accomplishment of the task.},
keywords = {Cognitive Architectures, Humanoid Robots, Reinforcement Learning, Roboceptions, Sensor systems, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In robotics, perception is usually oriented at understanding what is happening in the external world, while few works pay attention to what is occurring in the robotś body. In this work, we propose an artificial somatosensory system, embedded in a cognitive architecture, that enables a robot to perceive the sensations from its embodiment while executing a task. We called these perceptions roboceptions, and they let the robot act according to its own physical needs in addition to the task demands. Physical information is processed by the robot to behave in a balanced way, determining the most appropriate trade-off between the achievement of the task and its well being. The experiments show the integration of information from the somatosensory system and the choices that lead to the accomplishment of the task.
2021
Augello, Agnese; Citt`a, Giuseppe; Gentile, Manuel; Lieto, Antonio
A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study Journal Article
In: International Journal of Social Robotics, 2021, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots
@article{augelloStorytellingRobotManaging2021,
title = {A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study},
author = { Agnese Augello and Giuseppe Citt{`a} and Manuel Gentile and Antonio Lieto},
doi = {10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Social Robotics},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. textcopyright 2021, The Author(s).},
keywords = {Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. textcopyright 2021, The Author(s).
Ferrante, Giuliana; Vitale, Gianpaolo; Licari, Amelia; Montalbano, Laura; Pilato, Giovanni; Infantino, Ignazio; Augello, Agnese; Grutta, Stefania La
Social Robots and Therapeutic Adherence: A New Challenge in Pediatric Asthma? Journal Article
In: Paediatric Respiratory Reviews, vol. 40, pp. 46–51, 2021, ISSN: 15260542.
Abstract | Links | BibTeX | Tags: Asthma, Healthcare, Robotics, Social Agents, Social Robots
@article{ferranteSocialRobotsTherapeutic2021,
title = {Social Robots and Therapeutic Adherence: A New Challenge in Pediatric Asthma?},
author = { Giuliana Ferrante and Gianpaolo Vitale and Amelia Licari and Laura Montalbano and Giovanni Pilato and Ignazio Infantino and Agnese Augello and Stefania La Grutta},
doi = {10.1016/j.prrv.2020.11.001},
issn = {15260542},
year = {2021},
date = {2021-01-01},
journal = {Paediatric Respiratory Reviews},
volume = {40},
pages = {46--51},
abstract = {Social Robots are used in different contexts and, in healthcare, they are better known as Socially Assistive Robots. In the context of asthma, the use of Socially Assistive Robots has the potential to increase motivation and engagement to treatment. Other positive roles proposed for Socially Assistive Robots are to provide education, training regarding treatments, and feedback to patients. This review evaluates emerging interventions for improving treatment adherence in pediatric asthma, focusing on the possible future role of social robots in the clinical practice. textcopyright 2020 Elsevier Ltd},
keywords = {Asthma, Healthcare, Robotics, Social Agents, Social Robots},
pubstate = {published},
tppubtype = {article}
}
Social Robots are used in different contexts and, in healthcare, they are better known as Socially Assistive Robots. In the context of asthma, the use of Socially Assistive Robots has the potential to increase motivation and engagement to treatment. Other positive roles proposed for Socially Assistive Robots are to provide education, training regarding treatments, and feedback to patients. This review evaluates emerging interventions for improving treatment adherence in pediatric asthma, focusing on the possible future role of social robots in the clinical practice. textcopyright 2020 Elsevier Ltd
Augello, Agnese; Città, Giuseppe; Gentile, Manuel; Lieto, Antonio
A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study Journal Article
In: International Journal of Social Robotics, 2021, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots
@article{augello_storytelling_2021,
title = {A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study},
author = {Agnese Augello and Giuseppe Città and Manuel Gentile and Antonio Lieto},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121601016&doi=10.1007%2fs12369-021-00847-w&partnerID=40&md5=6ed1b6862dda29230d8337b9c4e2e0f9},
doi = {10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Social Robotics},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. © 2021, The Author(s).},
keywords = {Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. © 2021, The Author(s).
Ferrante, Giuliana; Vitale, Gianpaolo; Licari, Amelia; Montalbano, Laura; Pilato, Giovanni; Infantino, Ignazio; Augello, Agnese; Grutta, Stefania La
Social robots and therapeutic adherence: A new challenge in pediatric asthma? Journal Article
In: Paediatric Respiratory Reviews, vol. 40, pp. 46–51, 2021, ISSN: 15260542.
Abstract | Links | BibTeX | Tags: Asthma, Healthcare, Robotics, Social Agents, Social Robots
@article{ferrante_social_2021,
title = {Social robots and therapeutic adherence: A new challenge in pediatric asthma?},
author = {Giuliana Ferrante and Gianpaolo Vitale and Amelia Licari and Laura Montalbano and Giovanni Pilato and Ignazio Infantino and Agnese Augello and Stefania La Grutta},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099604396&doi=10.1016%2fj.prrv.2020.11.001&partnerID=40&md5=62a90d560382486591043c23bd15f2a9},
doi = {10.1016/j.prrv.2020.11.001},
issn = {15260542},
year = {2021},
date = {2021-01-01},
journal = {Paediatric Respiratory Reviews},
volume = {40},
pages = {46–51},
abstract = {Social Robots are used in different contexts and, in healthcare, they are better known as Socially Assistive Robots. In the context of asthma, the use of Socially Assistive Robots has the potential to increase motivation and engagement to treatment. Other positive roles proposed for Socially Assistive Robots are to provide education, training regarding treatments, and feedback to patients. This review evaluates emerging interventions for improving treatment adherence in pediatric asthma, focusing on the possible future role of social robots in the clinical practice. © 2020 Elsevier Ltd},
keywords = {Asthma, Healthcare, Robotics, Social Agents, Social Robots},
pubstate = {published},
tppubtype = {article}
}
Social Robots are used in different contexts and, in healthcare, they are better known as Socially Assistive Robots. In the context of asthma, the use of Socially Assistive Robots has the potential to increase motivation and engagement to treatment. Other positive roles proposed for Socially Assistive Robots are to provide education, training regarding treatments, and feedback to patients. This review evaluates emerging interventions for improving treatment adherence in pediatric asthma, focusing on the possible future role of social robots in the clinical practice. © 2020 Elsevier Ltd
2020
Augello, Agnese; Infantino, Ignazio; Gaglio, Salvatore; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
An Artificial Soft Somatosensory System for a Cognitive Robot Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 319–326, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems
@inproceedings{augelloArtificialSoftSomatosensory2020,
title = {An Artificial Soft Somatosensory System for a Cognitive Robot},
author = { Agnese Augello and Ignazio Infantino and Salvatore Gaglio and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1109/IRC.2020.00058},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {319--326},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. textcopyright 2020 IEEE.},
keywords = {Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. textcopyright 2020 IEEE.
Augello, Agnese; Ciulla, Angelo; Cuzzocrea, Alfredo; Gaglio, Salvatore; Pilato, Giovanni; Vella, Filippo
A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots Proceedings Article
In: Gervasi, O; Murgante, B; Misra, S; Garau, C; Blecic, I; Taniar, D; relax BO Apduhan,; relax AMAC Rocha,; Tarantino, E; relax CM Torre,; Karaca, Y (Ed.): COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I, pp. 967–977, SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2020, ISBN: 978-3-030-58799-4 978-3-030-58798-7.
Abstract | Links | BibTeX | Tags: Gestural Interaction, Humanoid Robots, RGB-D, Social Robots
@inproceedings{augelloKinectBasedGestureAcquisition2020,
title = {A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots},
author = { Agnese Augello and Angelo Ciulla and Alfredo Cuzzocrea and Salvatore Gaglio and Giovanni Pilato and Filippo Vella},
editor = { O Gervasi and B Murgante and S Misra and C Garau and I Blecic and D Taniar and {relax BO} Apduhan and {relax AMAC} Rocha and E Tarantino and {relax CM} Torre and Y Karaca},
doi = {10.1007/978-3-030-58799-4_69},
isbn = {978-3-030-58799-4 978-3-030-58798-7},
year = {2020},
date = {2020-01-01},
booktitle = {COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I},
volume = {12249},
pages = {967--977},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
address = {GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND},
series = {Lecture Notes in Computer Science},
abstract = {The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.},
keywords = {Gestural Interaction, Humanoid Robots, RGB-D, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.
Augello, Agnese; Pilato, Giovanni; Trecarichi, Gaia; Vassallo, Giorgio; Vella, Filippo
A Robotic Humanoid for Information Exploration on Cultural Heritage Domain Journal Article
In: Studies in Computational Intelligence, vol. 859, pp. 47–65, 2020, ISSN: 1860949X.
Abstract | Links | BibTeX | Tags: Cultural heritage, Humanoid Robots, Social Robots
@article{augelloRoboticHumanoidInformation2020,
title = {A Robotic Humanoid for Information Exploration on Cultural Heritage Domain},
author = { Agnese Augello and Giovanni Pilato and Gaia Trecarichi and Giorgio Vassallo and Filippo Vella},
doi = {10.1007/978-3-030-36107-5_3},
issn = {1860949X},
year = {2020},
date = {2020-01-01},
journal = {Studies in Computational Intelligence},
volume = {859},
pages = {47--65},
abstract = {The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. textcopyright 2020, Springer Nature Switzerland AG.},
keywords = {Cultural heritage, Humanoid Robots, Social Robots},
pubstate = {published},
tppubtype = {article}
}
The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. textcopyright 2020, Springer Nature Switzerland AG.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Vella, Filippo; Gaglio, Salvatore
An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities Journal Article
In: Robotics, vol. 9, no. 2, 2020, ISSN: 22186581.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots
@article{bonoACTRBasedHumanoid2020,
title = {An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities},
author = { Adriana Bono and Agnese Augello and Giovanni Pilato and Filippo Vella and Salvatore Gaglio},
doi = {10.3390/ROBOTICS9020025},
issn = {22186581},
year = {2020},
date = {2020-01-01},
journal = {Robotics},
volume = {9},
number = {2},
abstract = {This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. textcopyright 2020 by the authors.},
keywords = {ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. textcopyright 2020 by the authors.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Gaglio, Salvatore
Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 428–429, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots
@inproceedings{bonoExploitingCognitiveArchitectures2020,
title = {Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob},
author = { Adriana Bono and Agnese Augello and Giovanni Pilato and Salvatore Gaglio},
doi = {10.1109/IRC.2020.00078},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {428--429},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. textcopyright 2020 IEEE.},
keywords = {Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. textcopyright 2020 IEEE.
Trifir`o, Irene; Augello, Agnese; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo; Meo, Rosa
How Are You? How a Robot Can Learn to Express Its Own Roboceptions Proceedings Article
In: Cristiani, Matteo; Toro, Carlos; Zanni-Merk, Cecilia; Howlett, Robert J.; Jain, Lakhmi C. (Ed.): Procedia Computer Science, pp. 480–489, Elsevier B.V., 2020.
Abstract | Links | BibTeX | Tags: Human computer interaction, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Robotics, Semantic Computing, Social Robots
@inproceedings{trifiroHowAreYou2020,
title = {How Are You? How a Robot Can Learn to Express Its Own Roboceptions},
author = { Irene Trifir{`o} and Agnese Augello and Umberto Maniscalco and Giovanni Pilato and Filippo Vella and Rosa Meo},
editor = { Matteo Cristiani and Carlos Toro and Cecilia {Zanni-Merk} and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1016/j.procs.2020.08.050},
year = {2020},
date = {2020-01-01},
booktitle = {Procedia Computer Science},
volume = {176},
pages = {480--489},
publisher = {Elsevier B.V.},
abstract = {This work is framed on investigating how a robot can learn associations between linguistic elements, such as words or sentences, and its bodily perceptions, that we named ``roboceptions''. We discuss the possibility of defining such a process of an association through the interaction with human beings. By interacting with a user, the robot can learn to ascribe a meaning to its roboceptions to express them in natural language. Such a process could then be used by the robot in a verbal interaction to detect some words recalling the previously experimented roboceptions. In this paper, we discuss a Dual-NMT approach to realize such an association. However, it requires adequate training corpus. For this reason, we consider two different phases towards the realization of the system, and we show the results of the first phase, comparing two approaches: one based on the Latent Semantic Analysis paradigm and one based on the Random Indexing methodology.},
keywords = {Human computer interaction, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Robotics, Semantic Computing, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
This work is framed on investigating how a robot can learn associations between linguistic elements, such as words or sentences, and its bodily perceptions, that we named ``roboceptions''. We discuss the possibility of defining such a process of an association through the interaction with human beings. By interacting with a user, the robot can learn to ascribe a meaning to its roboceptions to express them in natural language. Such a process could then be used by the robot in a verbal interaction to detect some words recalling the previously experimented roboceptions. In this paper, we discuss a Dual-NMT approach to realize such an association. However, it requires adequate training corpus. For this reason, we consider two different phases towards the realization of the system, and we show the results of the first phase, comparing two approaches: one based on the Latent Semantic Analysis paradigm and one based on the Random Indexing methodology.
Trifirò, Irene; Augello, Agnese; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo; Meo, Rosa
How are you? How a robot can learn to express its own roboceptions Proceedings Article
In: Cristiani, Matteo; Toro, Carlos; Zanni-Merk, Cecilia; Howlett, Robert J.; Jain, Lakhmi C. (Ed.): Procedia Computer Science, pp. 480–489, Elsevier B.V., 2020.
Abstract | Links | BibTeX | Tags: Human computer interaction, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Robotics, Semantic Computing, Social Robots
@inproceedings{trifiro_how_2020,
title = {How are you? How a robot can learn to express its own roboceptions},
author = {Irene Trifirò and Agnese Augello and Umberto Maniscalco and Giovanni Pilato and Filippo Vella and Rosa Meo},
editor = {Matteo Cristiani and Carlos Toro and Cecilia Zanni-Merk and Robert J. Howlett and Lakhmi C. Jain},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093358258&doi=10.1016%2fj.procs.2020.08.050&partnerID=40&md5=d262d3c7852f492f6a871ed2c4b7e941},
doi = {10.1016/j.procs.2020.08.050},
year = {2020},
date = {2020-01-01},
booktitle = {Procedia Computer Science},
volume = {176},
pages = {480–489},
publisher = {Elsevier B.V.},
abstract = {This work is framed on investigating how a robot can learn associations between linguistic elements, such as words or sentences, and its bodily perceptions, that we named “roboceptions”. We discuss the possibility of defining such a process of an association through the interaction with human beings. By interacting with a user, the robot can learn to ascribe a meaning to its roboceptions to express them in natural language. Such a process could then be used by the robot in a verbal interaction to detect some words recalling the previously experimented roboceptions. In this paper, we discuss a Dual-NMT approach to realize such an association. However, it requires adequate training corpus. For this reason, we consider two different phases towards the realization of the system, and we show the results of the first phase, comparing two approaches: one based on the Latent Semantic Analysis paradigm and one based on the Random Indexing methodology.},
keywords = {Human computer interaction, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Robotics, Semantic Computing, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
This work is framed on investigating how a robot can learn associations between linguistic elements, such as words or sentences, and its bodily perceptions, that we named “roboceptions”. We discuss the possibility of defining such a process of an association through the interaction with human beings. By interacting with a user, the robot can learn to ascribe a meaning to its roboceptions to express them in natural language. Such a process could then be used by the robot in a verbal interaction to detect some words recalling the previously experimented roboceptions. In this paper, we discuss a Dual-NMT approach to realize such an association. However, it requires adequate training corpus. For this reason, we consider two different phases towards the realization of the system, and we show the results of the first phase, comparing two approaches: one based on the Latent Semantic Analysis paradigm and one based on the Random Indexing methodology.
Augello, Agnese; Ciulla, Angelo; Cuzzocrea, Alfredo; Gaglio, Salvatore; Pilato, Giovanni; Vella, Filippo
A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots Proceedings Article
In: Gervasi, O; Murgante, B; Misra, S; Garau, C; Blecic, I; Taniar, D; Apduhan, BO; Rocha, AMAC; Tarantino, E; Torre, CM; Karaca, Y (Ed.): COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I, pp. 967–977, SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2020, ISBN: 978-3-030-58799-4 978-3-030-58798-7.
Abstract | Links | BibTeX | Tags: Gestural Interaction, Humanoid Robots, RGB-D, Social Robots
@inproceedings{augello_kinect-based_2020,
title = {A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots},
author = {Agnese Augello and Angelo Ciulla and Alfredo Cuzzocrea and Salvatore Gaglio and Giovanni Pilato and Filippo Vella},
editor = {O Gervasi and B Murgante and S Misra and C Garau and I Blecic and D Taniar and BO Apduhan and AMAC Rocha and E Tarantino and CM Torre and Y Karaca},
doi = {10.1007/978-3-030-58799-4_69},
isbn = {978-3-030-58799-4 978-3-030-58798-7},
year = {2020},
date = {2020-01-01},
booktitle = {COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I},
volume = {12249},
pages = {967–977},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
address = {GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND},
series = {Lecture Notes in Computer Science},
abstract = {The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.},
keywords = {Gestural Interaction, Humanoid Robots, RGB-D, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.
Augello, Agnese; Pilato, Giovanni; Trecarichi, Gaia; Vassallo, Giorgio; Vella, Filippo
A Robotic Humanoid for Information Exploration on Cultural Heritage Domain Journal Article
In: Studies in Computational Intelligence, vol. 859, pp. 47–65, 2020, ISSN: 1860949X.
Abstract | Links | BibTeX | Tags: Cultural heritage, Humanoid Robots, Social Robots
@article{augello_robotic_2020,
title = {A Robotic Humanoid for Information Exploration on Cultural Heritage Domain},
author = {Agnese Augello and Giovanni Pilato and Gaia Trecarichi and Giorgio Vassallo and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090041409&doi=10.1007%2f978-3-030-36107-5_3&partnerID=40&md5=ac3eaf23a7d986465802a0b641f46454},
doi = {10.1007/978-3-030-36107-5_3},
issn = {1860949X},
year = {2020},
date = {2020-01-01},
journal = {Studies in Computational Intelligence},
volume = {859},
pages = {47–65},
abstract = {The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. © 2020, Springer Nature Switzerland AG.},
keywords = {Cultural heritage, Humanoid Robots, Social Robots},
pubstate = {published},
tppubtype = {article}
}
The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. © 2020, Springer Nature Switzerland AG.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Vella, Filippo; Gaglio, Salvatore
An ACT-R based humanoid social robot to manage storytelling activities Journal Article
In: Robotics, vol. 9, no. 2, 2020, ISSN: 22186581.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots
@article{bono_act-r_2020,
title = {An ACT-R based humanoid social robot to manage storytelling activities},
author = {Adriana Bono and Agnese Augello and Giovanni Pilato and Filippo Vella and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084653724&doi=10.3390%2fROBOTICS9020025&partnerID=40&md5=162460403d4d2af558ef40d18cf47957},
doi = {10.3390/ROBOTICS9020025},
issn = {22186581},
year = {2020},
date = {2020-01-01},
journal = {Robotics},
volume = {9},
number = {2},
abstract = {This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. © 2020 by the authors.},
keywords = {ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. © 2020 by the authors.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Gaglio, Salvatore
Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 428–429, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots
@inproceedings{bono_exploiting_2020,
title = {Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob},
author = {Adriana Bono and Agnese Augello and Giovanni Pilato and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099333983&doi=10.1109%2fIRC.2020.00078&partnerID=40&md5=5c30cf1f015cb14703fd67d1d0dde239},
doi = {10.1109/IRC.2020.00078},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {428–429},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. © 2020 IEEE.},
keywords = {Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. © 2020 IEEE.
Augello, Agnese; Infantino, Ignazio; Gaglio, Salvatore; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
An Artificial Soft Somatosensory System for a Cognitive Robot Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 319–326, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems
@inproceedings{augello_artificial_2020,
title = {An Artificial Soft Somatosensory System for a Cognitive Robot},
author = {Agnese Augello and Ignazio Infantino and Salvatore Gaglio and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099360477&doi=10.1109%2fIRC.2020.00058&partnerID=40&md5=87b4c20a11e6bca2f17e6cf2758353f8},
doi = {10.1109/IRC.2020.00058},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {319–326},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. © 2020 IEEE.},
keywords = {Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. © 2020 IEEE.
2019
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic Intelligence and Computational Creativity Book
World Scientific Publishing Co., 2019, ISBN: 9789811203480; 9789811203473.
Abstract | BibTeX | Tags: Computational Creativity, Creative Agents, Social Robots
@book{augelloRoboticIntelligenceComputational2019,
title = {Robotic Intelligence and Computational Creativity},
author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
isbn = {9789811203480; 9789811203473},
year = {2019},
date = {2019-01-01},
volume = {2},
publisher = {World Scientific Publishing Co.},
abstract = {The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.},
keywords = {Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {book}
}
The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic intelligence and computational creativity Book
World Scientific Publishing Co., 2019, ISBN: 9789811203480; 9789811203473.
Abstract | Links | BibTeX | Tags: Computational Creativity, Creative Agents, Social Robots
@book{augello_robotic_2019,
title = {Robotic intelligence and computational creativity},
author = {Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068168684&partnerID=40&md5=2ed09738d40b2e43c73d9631c03eef1d},
isbn = {9789811203480; 9789811203473},
year = {2019},
date = {2019-01-01},
volume = {2},
publisher = {World Scientific Publishing Co.},
abstract = {The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. © 2019 by World Scientific Publishing Co. Pte. Ltd.},
keywords = {Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {book}
}
The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. © 2019 by World Scientific Publishing Co. Pte. Ltd.
2018
Augello, Agnese; Dignum, Frank; Gentile, Manuel; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
A Social Practice Oriented Signs Detection for Human-Humanoid Interaction Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 25, pp. 8–16, 2018, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots
@article{augelloSocialPracticeOriented2018,
title = {A Social Practice Oriented Signs Detection for Human-Humanoid Interaction},
author = { Agnese Augello and Frank Dignum and Manuel Gentile and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1016/j.bica.2018.07.013},
issn = {2212683X},
year = {2018},
date = {2018-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {25},
pages = {8--16},
abstract = {In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. textcopyright 2018 Elsevier B.V.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. textcopyright 2018 Elsevier B.V.
Infantino, Ignazio; Augello, Agnese; Maniscalto, Umberto; Pilato, Giovanni; Vella, Filippo
A Cognitive Architecture for Social Robots Proceedings Article
In: IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 978-1-5386-6282-3.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Robots, Somatosensory Systems
@inproceedings{infantinoCognitiveArchitectureSocial2018,
title = {A Cognitive Architecture for Social Robots},
author = { Ignazio Infantino and Agnese Augello and Umberto Maniscalto and Giovanni Pilato and Filippo Vella},
doi = {10.1109/RTSI.2018.8548520},
isbn = {978-1-5386-6282-3},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper illustrates a software architecture allowing a robot to socially interact with human beings, sharing with them some basilar cognitive mechanisms. Robust sensing of the environment and people is strongly linked with an artificial somatosensory system that drives the robot behavior at a low level and influences its motivation. Both long-term memory and short-term memory store relevant data to detect and recognize the social context (and social practice), and the human social behavior. Using both internal and external evaluations, the robot learns and improves its social skills, which take into account its physiological and emotional demands (affiliation, competence, certainty). Social interaction is encoded in the cognitive architecture by considering at the same level the human understanding and the robot communicative actions. This is done by using the same interaction channels (both verbal and nonverbal). Some examples derived from previous works show the effectiveness and the potential of the cognitive architecture. textcopyright 2018 IEEE.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Robots, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates a software architecture allowing a robot to socially interact with human beings, sharing with them some basilar cognitive mechanisms. Robust sensing of the environment and people is strongly linked with an artificial somatosensory system that drives the robot behavior at a low level and influences its motivation. Both long-term memory and short-term memory store relevant data to detect and recognize the social context (and social practice), and the human social behavior. Using both internal and external evaluations, the robot learns and improves its social skills, which take into account its physiological and emotional demands (affiliation, competence, certainty). Social interaction is encoded in the cognitive architecture by considering at the same level the human understanding and the robot communicative actions. This is done by using the same interaction channels (both verbal and nonverbal). Some examples derived from previous works show the effectiveness and the potential of the cognitive architecture. textcopyright 2018 IEEE.
Augello, Agnese; Dignum, Frank; Gentile, Manuel; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
A social practice oriented signs detection for human-humanoid interaction Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 25, pp. 8–16, 2018, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots
@article{augello_social_2018-1,
title = {A social practice oriented signs detection for human-humanoid interaction},
author = {Agnese Augello and Frank Dignum and Manuel Gentile and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052488332&doi=10.1016%2fj.bica.2018.07.013&partnerID=40&md5=43ba89b15faf7fac6e16670bb9eeb858},
doi = {10.1016/j.bica.2018.07.013},
issn = {2212683X},
year = {2018},
date = {2018-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {25},
pages = {8–16},
abstract = {In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. © 2018 Elsevier B.V.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. © 2018 Elsevier B.V.
Infantino, Ignazio; Augello, Agnese; Maniscalto, Umberto; Pilato, Giovanni; Vella, Filippo
A Cognitive Architecture for Social Robots Proceedings Article
In: IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018, ISBN: 978-1-5386-6282-3.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Robots, Somatosensory Systems
@inproceedings{infantino_cognitive_2018,
title = {A Cognitive Architecture for Social Robots},
author = {Ignazio Infantino and Agnese Augello and Umberto Maniscalto and Giovanni Pilato and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060055386&doi=10.1109%2fRTSI.2018.8548520&partnerID=40&md5=e0f42bea237008a45b64f3c2ac1b5dea},
doi = {10.1109/RTSI.2018.8548520},
isbn = {978-1-5386-6282-3},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper illustrates a software architecture allowing a robot to socially interact with human beings, sharing with them some basilar cognitive mechanisms. Robust sensing of the environment and people is strongly linked with an artificial somatosensory system that drives the robot behavior at a low level and influences its motivation. Both long-term memory and short-term memory store relevant data to detect and recognize the social context (and social practice), and the human social behavior. Using both internal and external evaluations, the robot learns and improves its social skills, which take into account its physiological and emotional demands (affiliation, competence, certainty). Social interaction is encoded in the cognitive architecture by considering at the same level the human understanding and the robot communicative actions. This is done by using the same interaction channels (both verbal and nonverbal). Some examples derived from previous works show the effectiveness and the potential of the cognitive architecture. © 2018 IEEE.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Robots, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates a software architecture allowing a robot to socially interact with human beings, sharing with them some basilar cognitive mechanisms. Robust sensing of the environment and people is strongly linked with an artificial somatosensory system that drives the robot behavior at a low level and influences its motivation. Both long-term memory and short-term memory store relevant data to detect and recognize the social context (and social practice), and the human social behavior. Using both internal and external evaluations, the robot learns and improves its social skills, which take into account its physiological and emotional demands (affiliation, competence, certainty). Social interaction is encoded in the cognitive architecture by considering at the same level the human understanding and the robot communicative actions. This is done by using the same interaction channels (both verbal and nonverbal). Some examples derived from previous works show the effectiveness and the potential of the cognitive architecture. © 2018 IEEE.