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.
2022
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Vitale, Gianpaolo
Extending Affective Capabilities for Medical Assistive Robots Journal Article
In: Cognitive Systems Research, vol. 73, pp. 21–25, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing
@article{augelloExtendingAffectiveCapabilities2022,
title = {Extending Affective Capabilities for Medical Assistive Robots},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},
doi = {10.1016/j.cogsys.2021.12.004},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {21--25},
abstract = {In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients' mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. textcopyright 2022 Elsevier B.V.},
keywords = {Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing},
pubstate = {published},
tppubtype = {article}
}
In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients' mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. 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{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.
2020
Augello, Agnese; Ciulla, Angelo; Cuzzocrea, Alfredo; Gaglio, Salvatore; Pilato, Giovanni; Vella, Filippo
Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots Proceedings Article
In: DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, pp. 82–86, Knowledge Systems Institute Graduate School, KSI Research Inc., 2020, ISBN: 1-891706-51-9 978-1-891706-51-6.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Humanoid Robots, Robotics
@inproceedings{augelloIntelligentSystemSupporting2020,
title = {Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots},
author = { Agnese Augello and Angelo Ciulla and Alfredo Cuzzocrea and Salvatore Gaglio and Giovanni Pilato and Filippo Vella},
doi = {10.18293/DMSVIVA2020-017},
isbn = {1-891706-51-9 978-1-891706-51-6},
year = {2020},
date = {2020-01-01},
booktitle = {DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages},
pages = {82--86},
publisher = {Knowledge Systems Institute Graduate School, KSI Research Inc.},
abstract = {In this paper, an intelligent system for supporting gesture acquisition and reproduction in humanoid robots, which is based on the well-known Microsoft Kinect framework, is introduced and discussed in this paper. The idea that has inspired the paper is represented by endowing an humanoid robot with the capability to mimic the motion of a human user in real time. As a further extension, the latter amenity may serve as a basis for further gesture based human-robot interactions. textcopyright 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages. All rights reserved.},
keywords = {Anthropomorphic Robots, Humanoid Robots, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, an intelligent system for supporting gesture acquisition and reproduction in humanoid robots, which is based on the well-known Microsoft Kinect framework, is introduced and discussed in this paper. The idea that has inspired the paper is represented by endowing an humanoid robot with the capability to mimic the motion of a human user in real time. As a further extension, the latter amenity may serve as a basis for further gesture based human-robot interactions. textcopyright 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages. All rights reserved.
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}
}
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; 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.
Nuccio, Carlo; Augello, Agnese; Gaglio, Salvatore; Pilato, Giovanni
Interaction Capabilities of a Robotic Receptionist Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 171–180, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Computational Creativity, Human computer interaction, Human Robot Interaction, Humanoid Robots, Ontologies, Robotics
@article{nuccioInteractionCapabilitiesRobotic2018,
title = {Interaction Capabilities of a Robotic Receptionist},
author = { Carlo Nuccio and Agnese Augello and Salvatore Gaglio and Giovanni Pilato},
editor = { Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_18},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {171--180},
abstract = {A system aimed at facilitating the interaction between a human user and an humanoid robot is presented. The system is suited to answer questions about laboratories activities, people involved, projects, research themes and collaborations among employees. The task is accomplished by the HermiT reasoner invoked by a speech recognition module. The system is capable of navigating a specific ontology making inference on it. The presented system is part of a broader social robot framework whose goal is to give the user a fulfilling social interaction experience, driven by the perception of the robot internal state and involving intuitive and computational creativity capabilities. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Computational Creativity, Human computer interaction, Human Robot Interaction, Humanoid Robots, Ontologies, Robotics},
pubstate = {published},
tppubtype = {article}
}
A system aimed at facilitating the interaction between a human user and an humanoid robot is presented. The system is suited to answer questions about laboratories activities, people involved, projects, research themes and collaborations among employees. The task is accomplished by the HermiT reasoner invoked by a speech recognition module. The system is capable of navigating a specific ontology making inference on it. The presented system is part of a broader social robot framework whose goal is to give the user a fulfilling social interaction experience, driven by the perception of the robot internal state and involving intuitive and computational creativity capabilities. textcopyright Springer International Publishing AG 2018.
2017
Augello, Agnese; Cipolla, Emanuele; Infantino, Ignazio; Manfr`e, Adriano; Pilato, Giovanni; Vella, Filippo
Creative Robot Dance with Variational Encoder Proceedings Article
In: A., Jordanous A. Pease A. Goel (Ed.): Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Georgia Institute of Technology, 2017, ISBN: 978-0-692-89564-1.
Abstract | BibTeX | Tags: Anthropomorphic Robots, Computational Creativity, Creative Agents, Deep learning, Robotics
@inproceedings{augelloCreativeRobotDance2017,
title = {Creative Robot Dance with Variational Encoder},
author = { Agnese Augello and Emanuele Cipolla and Ignazio Infantino and Adriano Manfr{`e} and Giovanni Pilato and Filippo Vella},
editor = { Jordanous A. Pease A. Goel A.},
isbn = {978-0-692-89564-1},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017},
publisher = {Georgia Institute of Technology},
abstract = {What we appreciate in dance is the ability of people to spontaneously improvise new movements and choreographies, surrendering to the music rhythm, being inspired by the current perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomorphic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing movements according to to the listened music. textcopyright ICCC 2017.},
keywords = {Anthropomorphic Robots, Computational Creativity, Creative Agents, Deep learning, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
What we appreciate in dance is the ability of people to spontaneously improvise new movements and choreographies, surrendering to the music rhythm, being inspired by the current perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomorphic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing movements according to to the listened music. textcopyright ICCC 2017.
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
The Effects of Soft Somatosensory System on the Execution of Robotic Tasks Proceedings Article
In: Proceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017, pp. 14–21, Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 978-1-5090-6723-7.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Robotics, Sensor systems, Somatosensory Systems
@inproceedings{augelloEffectsSoftSomatosensory2017,
title = {The Effects of Soft Somatosensory System on the Execution of Robotic Tasks},
author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1109/IRC.2017.57},
isbn = {978-1-5090-6723-7},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017},
pages = {14--21},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Nowadays there is a growing interest in the design and implementation of robots capable of exhibiting sophisticated behaviours, taking part in social interactions, expressing and manifesting their 'feelings'. These kinds of robots can be employed as human-like collaborators or companions. At the heart of this sophisticated behaviour, there should be the robot's ability of effectively being aware of its internal status. The feeling of pleasant or unpleasant sensations comes before higher-level mechanisms that determine a robot's emotions and motivations in the accomplishment of a task. Furthermore, negative sensations can represent an alarm indicating dangerous situations. In this work, we have modelled a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system has been designed by analysing the internal physical structure of the robot and it relies on different soft sensors built on top of the robot's physical sensors. The soft sensors allow the robot to interpret its body sensations using a suitable classification of the somatosensory signals. They influence the motivation of the robot, modulating its final behaviour, as shown in an experimental setup. textcopyright 2017 IEEE.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Robotics, Sensor systems, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Nowadays there is a growing interest in the design and implementation of robots capable of exhibiting sophisticated behaviours, taking part in social interactions, expressing and manifesting their 'feelings'. These kinds of robots can be employed as human-like collaborators or companions. At the heart of this sophisticated behaviour, there should be the robot's ability of effectively being aware of its internal status. The feeling of pleasant or unpleasant sensations comes before higher-level mechanisms that determine a robot's emotions and motivations in the accomplishment of a task. Furthermore, negative sensations can represent an alarm indicating dangerous situations. In this work, we have modelled a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system has been designed by analysing the internal physical structure of the robot and it relies on different soft sensors built on top of the robot's physical sensors. The soft sensors allow the robot to interpret its body sensations using a suitable classification of the somatosensory signals. They influence the motivation of the robot, modulating its final behaviour, as shown in an experimental setup. textcopyright 2017 IEEE.
2016
Augello, Agnese; Infantino, Ignazio; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Analyzing and Discussing Primary Creative Traits of a Robotic Artist Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 17, pp. 22–31, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Creative Process, Human computer interaction, Human Robot Interaction, Humanoid Robots, Information Management, Social Robots
@article{augelloAnalyzingDiscussingPrimary2016,
title = {Analyzing and Discussing Primary Creative Traits of a Robotic Artist},
author = { Agnese Augello and Ignazio Infantino and Adriano Manfré and Giovanni Pilato and Filippo Vella},
doi = {10.1016/j.bica.2016.07.006},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {17},
pages = {22--31},
abstract = {We present a robot aimed at producing a collage formed by a mix of photomontage and digital collage. The artwork is created after a visual and verbal interaction with a human user. The proposed system, through a cognitive architecture, allows the robot to manage the three different phases of the real-time artwork process: (i) taking inspiration from information captured during the postural and verbal interaction with the human user and from the analysis of his/her social web items; (ii) performing a creative process to obtain a model of the artwork; (iii) executing the creative collage composition and providing a significant title. The paper explains, primarily, how the creativity traits of the robot are implemented in the proposed architecture: how ideas are generated through an elaboration that is modulated by affective influences; how the personality and the artistic behavior are modeled by learning and guided by external evaluations; the motivation and the confidence evolution as a function of successes or failures. textcopyright 2016 Elsevier B.V. All rights reserved.},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Creative Process, Human computer interaction, Human Robot Interaction, Humanoid Robots, Information Management, Social Robots},
pubstate = {published},
tppubtype = {article}
}
We present a robot aimed at producing a collage formed by a mix of photomontage and digital collage. The artwork is created after a visual and verbal interaction with a human user. The proposed system, through a cognitive architecture, allows the robot to manage the three different phases of the real-time artwork process: (i) taking inspiration from information captured during the postural and verbal interaction with the human user and from the analysis of his/her social web items; (ii) performing a creative process to obtain a model of the artwork; (iii) executing the creative collage composition and providing a significant title. The paper explains, primarily, how the creativity traits of the robot are implemented in the proposed architecture: how ideas are generated through an elaboration that is modulated by affective influences; how the personality and the artistic behavior are modeled by learning and guided by external evaluations; the motivation and the confidence evolution as a function of successes or failures. textcopyright 2016 Elsevier B.V. All rights reserved.
Augello, Agnese; Infantino, Ignazio; Manfr`e, Adriano; Pilato, Giovanni; Vella, Filippo; Chella, Antonio
Creation and Cognition for Humanoid Live Dancing Journal Article
In: Robotics and Autonomous Systems, vol. 86, pp. 128–137, 2016, ISSN: 09218890.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Social Robots
@article{augelloCreationCognitionHumanoid2016,
title = {Creation and Cognition for Humanoid Live Dancing},
author = { Agnese Augello and Ignazio Infantino and Adriano Manfr{`e} and Giovanni Pilato and Filippo Vella and Antonio Chella},
doi = {10.1016/j.robot.2016.09.012},
issn = {09218890},
year = {2016},
date = {2016-01-01},
journal = {Robotics and Autonomous Systems},
volume = {86},
pages = {128--137},
abstract = {Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience. textcopyright 2016},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {article}
}
Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience. textcopyright 2016
Infantino, Ignazio; Augello, Agnese; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Robodanza: Live Performances of a Creative Dancing Humanoid Proceedings Article
In: F., Cardoso F. A. Corruble V. Ghedini F. Pachet (Ed.): Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016, pp. 388–395, Sony CSL, 2016, ISBN: 978-2-7466-9155-1.
Abstract | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Creative Agents, Human Robot Interaction, Social Robots
@inproceedings{infantinoRobodanzaLivePerformances2016,
title = {Robodanza: Live Performances of a Creative Dancing Humanoid},
author = { Ignazio Infantino and Agnese Augello and Adriano Manfré and Giovanni Pilato and Filippo Vella},
editor = { Cardoso F.A. Corruble V. Ghedini F. Pachet F.},
isbn = {978-2-7466-9155-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016},
pages = {388--395},
publisher = {Sony CSL},
abstract = {The paper describes the artistic performances obtained with a creative system based on a cognitive architecture. The performances are executed by a humanoid robot whose creative behaviour is strongly influenced both by the interaction with human dancers and by internal and external evaluation mechanisms. The complexity of such a task requires the development of robust and fast algorithms in order to effectively perceive and process musical inputs, and the generation of coherent movements in order to realize an amusing and original choreography. A basic sketch of the choreography has been conceived and set-up in cooperation with professional dancers. The sketch takes into account both robot capabilities and limitations. Three live performances are discussed in detail, reporting their impact on the audience, the environmental conditions, and the adopted solutions to satisfy safety requirements, and achieve aesthetic pleasantness. textcopyright 2016 Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016. All rights reserved.},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Creative Agents, Human Robot Interaction, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper describes the artistic performances obtained with a creative system based on a cognitive architecture. The performances are executed by a humanoid robot whose creative behaviour is strongly influenced both by the interaction with human dancers and by internal and external evaluation mechanisms. The complexity of such a task requires the development of robust and fast algorithms in order to effectively perceive and process musical inputs, and the generation of coherent movements in order to realize an amusing and original choreography. A basic sketch of the choreography has been conceived and set-up in cooperation with professional dancers. The sketch takes into account both robot capabilities and limitations. Three live performances are discussed in detail, reporting their impact on the audience, the environmental conditions, and the adopted solutions to satisfy safety requirements, and achieve aesthetic pleasantness. textcopyright 2016 Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016. All rights reserved.