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 use the tag cloud to select only the papers dealing with specific research topics.
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; 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.
2022
Augello, Agnese
Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy Journal Article
In: Cognitive Systems Research, vol. 73, pp. 12–20, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots
@article{augelloUnveilingReasoningProcesses2022,
title = {Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy},
author = { Agnese Augello},
doi = {10.1016/j.cogsys.2021.11.006},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {12--20},
abstract = {The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.},
keywords = {ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.
Augello, Agnese
Unveiling the reasoning processes of robots through introspective dialogues in a storytelling system: A study on the elicited empathy Journal Article
In: Cognitive Systems Research, vol. 73, pp. 12–20, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots
@article{augello_unveiling_2022,
title = {Unveiling the reasoning processes of robots through introspective dialogues in a storytelling system: A study on the elicited empathy},
author = {Agnese Augello},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122793053&doi=10.1016%2fj.cogsys.2021.11.006&partnerID=40&md5=4564d1566fc0aa809badb52cd9b60c96},
doi = {10.1016/j.cogsys.2021.11.006},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {12–20},
abstract = {The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters’ personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. © 2022 Elsevier B.V.},
keywords = {ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters’ personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. © 2022 Elsevier B.V.
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).
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).
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.
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.
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices Based Characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bonoSocialPracticesBased2020,
title = {Social Practices Based Characters in a Robotic Storytelling System},
author = { Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90--95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.
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.
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices based characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bono_social_2020,
title = {Social Practices based characters in a Robotic Storytelling System},
author = {Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095730937&doi=10.1109%2fRO-MAN47096.2020.9223501&partnerID=40&md5=aa487981e36f25abff7e7dd8dadef50e},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90–95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. © 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. © 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.
2018
Augello, Agnese; Citt`a, Giuseppe; Gentile, Manuel; Infantino, Ignazio; Guardia, Dario La; Manfré, Adriano; Maniscalco, Umberto; Ottaviano, Simona; Pilato, Giovanni; Vella, Filippo; Allegra, Mario
Improving Spatial Reasoning by Interacting with a Humanoid Robot Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 151–160, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM
@article{augelloImprovingSpatialReasoning2018,
title = {Improving Spatial Reasoning by Interacting with a Humanoid Robot},
author = { Agnese Augello and Giuseppe Citt{`a} and Manuel Gentile and Ignazio Infantino and Dario La Guardia and Adriano Manfré and Umberto Maniscalco and Simona Ottaviano and Giovanni Pilato and Filippo Vella and Mario Allegra},
editor = { Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_16},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {151--160},
abstract = {This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM},
pubstate = {published},
tppubtype = {article}
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This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. textcopyright Springer International Publishing AG 2018.
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Robot Inner Perception Capability through a Soft Somatosensory System Journal Article
In: International Journal of Semantic Computing, vol. 12, no. 1, pp. 59–87, 2018, ISSN: 1793351X.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems
@article{augelloRobotInnerPerception2018,
title = {Robot Inner Perception Capability through a Soft Somatosensory System},
author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1142/S1793351X18400044},
issn = {1793351X},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Semantic Computing},
volume = {12},
number = {1},
pages = {59--87},
abstract = {The capability of a robot being aware of its internal status is a step forward to the enhancement of human-robot interaction. The possibility of feeling either pleasant or unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the "willingness" of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior. textcopyright 2018 World Scientific Publishing Company.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems},
pubstate = {published},
tppubtype = {article}
}
The capability of a robot being aware of its internal status is a step forward to the enhancement of human-robot interaction. The possibility of feeling either pleasant or unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the "willingness" of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior. textcopyright 2018 World Scientific Publishing Company.
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.
Augello, Agnese; Cipolla, Emanuele; Infantino, Ignazio; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Social Signs Processing in a Cognitive Architecture for an Humanoid Robot Proceedings Article
In: A.V., Klimov V. V. Samsonovich (Ed.): Procedia Computer Science, pp. 63–68, Elsevier B.V., 2018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Recurrent Neural Networks, Robotics
@inproceedings{augelloSocialSignsProcessing2018,
title = {Social Signs Processing in a Cognitive Architecture for an Humanoid Robot},
author = { Agnese Augello and Emanuele Cipolla and Ignazio Infantino and Adriano Manfré and Giovanni Pilato and Filippo Vella},
editor = { Klimov V.V. Samsonovich A.V.},
doi = {10.1016/j.procs.2018.01.011},
year = {2018},
date = {2018-01-01},
booktitle = {Procedia Computer Science},
volume = {123},
pages = {63--68},
publisher = {Elsevier B.V.},
abstract = {A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior. textcopyright 2018 The Authors.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Recurrent Neural Networks, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior. textcopyright 2018 The Authors.
Citt`a, Giuseppe; Arnab, Sylvester; Augello, Agnese; Gentile, Manuel; Zielonka, Sebastian Idelsohn; Ifenthaler, Dirk; Infantino, Ignazio; Guardia, Dario La; Manfr`e, Adriano; Allegra, Mario
Move Your Mind: Creative Dancing Humanoids as Support to STEAM Activities Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 190–199, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM
@article{cittaMoveYourMind2018,
title = {Move Your Mind: Creative Dancing Humanoids as Support to STEAM Activities},
author = { Giuseppe Citt{`a} and Sylvester Arnab and Agnese Augello and Manuel Gentile and Sebastian Idelsohn Zielonka and Dirk Ifenthaler and Ignazio Infantino and Dario La Guardia and Adriano Manfr{`e} and Mario Allegra},
editor = { Robert J. Howlett and Luigi Gallo and Giuseppe De Pietro and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_20},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {190--199},
abstract = {Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM},
pubstate = {published},
tppubtype = {article}
}
Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. textcopyright Springer International Publishing AG 2018.
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; Città, Giuseppe; Gentile, Manuel; Infantino, Ignazio; Guardia, Dario La; Manfré, Adriano; Maniscalco, Umberto; Ottaviano, Simona; Pilato, Giovanni; Vella, Filippo; Allegra, Mario
Improving spatial reasoning by interacting with a humanoid robot Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 151–160, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM
@article{augello_improving_2018,
title = {Improving spatial reasoning by interacting with a humanoid robot},
author = {Agnese Augello and Giuseppe Città and Manuel Gentile and Ignazio Infantino and Dario La Guardia and Adriano Manfré and Umberto Maniscalco and Simona Ottaviano and Giovanni Pilato and Filippo Vella and Mario Allegra},
editor = {Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020433155&doi=10.1007%2f978-3-319-59480-4_16&partnerID=40&md5=3829c4d87a47b0fddbbfc3e8f487edf1},
doi = {10.1007/978-3-319-59480-4_16},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {151–160},
abstract = {This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. © Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM},
pubstate = {published},
tppubtype = {article}
}
This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. © Springer International Publishing AG 2018.
Città, Giuseppe; Arnab, Sylvester; Augello, Agnese; Gentile, Manuel; Zielonka, Sebastian Idelsohn; Ifenthaler, Dirk; Infantino, Ignazio; Guardia, Dario La; Manfrè, Adriano; Allegra, Mario
Move your mind: Creative dancing humanoids as support to STEAM activities Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 190–199, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM
@article{citta_move_2018,
title = {Move your mind: Creative dancing humanoids as support to STEAM activities},
author = {Giuseppe Città and Sylvester Arnab and Agnese Augello and Manuel Gentile and Sebastian Idelsohn Zielonka and Dirk Ifenthaler and Ignazio Infantino and Dario La Guardia and Adriano Manfrè and Mario Allegra},
editor = {Robert J. Howlett and Luigi Gallo and Giuseppe De Pietro and Lakhmi C. Jain},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020412823&doi=10.1007%2f978-3-319-59480-4_20&partnerID=40&md5=0dd3a32d07a98214b8c275b30f2ca49f},
doi = {10.1007/978-3-319-59480-4_20},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {190–199},
abstract = {Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. © Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM},
pubstate = {published},
tppubtype = {article}
}
Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. © Springer International Publishing AG 2018.
Augello, Agnese; Cipolla, Emanuele; Infantino, Ignazio; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Social signs processing in a cognitive architecture for an humanoid robot Proceedings Article
In: A.V., Klimov V. V. Samsonovich (Ed.): Procedia Computer Science, pp. 63–68, Elsevier B.V., 2018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Recurrent Neural Networks, Robotics
@inproceedings{augello_social_2018,
title = {Social signs processing in a cognitive architecture for an humanoid robot},
author = {Agnese Augello and Emanuele Cipolla and Ignazio Infantino and Adriano Manfré and Giovanni Pilato and Filippo Vella},
editor = {Klimov V. V. Samsonovich A.V.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045693796&doi=10.1016%2fj.procs.2018.01.011&partnerID=40&md5=e3cd2a9ab496442ec02b128d19432e2c},
doi = {10.1016/j.procs.2018.01.011},
year = {2018},
date = {2018-01-01},
booktitle = {Procedia Computer Science},
volume = {123},
pages = {63–68},
publisher = {Elsevier B.V.},
abstract = {A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior. © 2018 The Authors.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Recurrent Neural Networks, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior. © 2018 The Authors.
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Robot inner perception capability through a soft somatosensory system Journal Article
In: International Journal of Semantic Computing, vol. 12, no. 1, pp. 59–87, 2018, ISSN: 1793351X.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems
@article{augello_robot_2018,
title = {Robot inner perception capability through a soft somatosensory system},
author = {Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051523659&doi=10.1142%2fS1793351X18400044&partnerID=40&md5=c602b9f8638911db3433de9acd74ea75},
doi = {10.1142/S1793351X18400044},
issn = {1793351X},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Semantic Computing},
volume = {12},
number = {1},
pages = {59–87},
abstract = {The capability of a robot being aware of its internal status is a step forward to the enhancement of human-robot interaction. The possibility of feeling either pleasant or unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the "willingness" of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior. © 2018 World Scientific Publishing Company.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Model, Human Robot Interaction, Motivation, Sensor systems, Somatosensory Systems},
pubstate = {published},
tppubtype = {article}
}
The capability of a robot being aware of its internal status is a step forward to the enhancement of human-robot interaction. The possibility of feeling either pleasant or unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the "willingness" of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior. © 2018 World Scientific Publishing Company.
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.