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.
2019
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic Intelligence and Computational Creativity Book
World Scientific Publishing Co., 2019, ISBN: 9789811203480; 9789811203473.
Abstract | BibTeX | Tags: Computational Creativity, Creative Agents, Social Robots
@book{augelloRoboticIntelligenceComputational2019,
title = {Robotic Intelligence and Computational Creativity},
author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
isbn = {9789811203480; 9789811203473},
year = {2019},
date = {2019-01-01},
volume = {2},
publisher = {World Scientific Publishing Co.},
abstract = {The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.},
keywords = {Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {book}
}
The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.
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.
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; Lieto, Antonio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Artwork Creation by a Cognitive Architecture Integrating Computational Creativity and Dual Process Approaches Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 15, pp. 74–86, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Dual Process Theory, Social Robots
@article{augelloArtworkCreationCognitive2016,
title = {Artwork Creation by a Cognitive Architecture Integrating Computational Creativity and Dual Process Approaches},
author = { Agnese Augello and Ignazio Infantino and Antonio Lieto and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2015.09.007},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {15},
pages = {74--86},
abstract = {The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform. textcopyright 2015 Elsevier B.V. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Dual Process Theory, Social Robots},
pubstate = {published},
tppubtype = {article}
}
The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform. textcopyright 2015 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.
Manfré, Adriano; Augello, Agnese; Pilato, Giovanni; Vella, Filippo; Infantino, Ignazio
Exploiting Interactive Genetic Algorithms for Creative Humanoid Dancing Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 17, pp. 12–21, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Human Robot Interaction
@article{manfreExploitingInteractiveGenetic2016,
title = {Exploiting Interactive Genetic Algorithms for Creative Humanoid Dancing},
author = { Adriano Manfré and Agnese Augello and Giovanni Pilato and Filippo Vella and Ignazio Infantino},
doi = {10.1016/j.bica.2016.07.004},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {17},
pages = {12--21},
abstract = {The paper discusses an approach aimed at endowing a cognitive architecture with artificial creativity capabilities in order to make a humanoid able to dance in a pleasant manner. The robot associates movements to music perception creating an aesthetically valuable dance by using a Hidden Markov Model with a nonclassical approach. Two matrices mainly influence the model: a Transition matrix TM, and an Emission Matrix EM. The TM matrix rules the transition between two subsequent movements. The EM matrix constitutes the link between a set of movements and the perceived music features. In order to compute the EM matrix, we exploit a genetic algorithm approach. The approach makes use of two kinds of fitness functions. The first one is an internal evaluation fitness that allows the robot to autonomously learn the association between music and movements. The second one depends on the interaction with a human teacher, leading to the determination of different dance styles, which constitute the robot repertoire. The experimental part discusses the effects on the creativity of different distances to compute fitness. textcopyright 2016 Elsevier B.V. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Human Robot Interaction},
pubstate = {published},
tppubtype = {article}
}
The paper discusses an approach aimed at endowing a cognitive architecture with artificial creativity capabilities in order to make a humanoid able to dance in a pleasant manner. The robot associates movements to music perception creating an aesthetically valuable dance by using a Hidden Markov Model with a nonclassical approach. Two matrices mainly influence the model: a Transition matrix TM, and an Emission Matrix EM. The TM matrix rules the transition between two subsequent movements. The EM matrix constitutes the link between a set of movements and the perceived music features. In order to compute the EM matrix, we exploit a genetic algorithm approach. The approach makes use of two kinds of fitness functions. The first one is an internal evaluation fitness that allows the robot to autonomously learn the association between music and movements. The second one depends on the interaction with a human teacher, leading to the determination of different dance styles, which constitute the robot repertoire. The experimental part discusses the effects on the creativity of different distances to compute fitness. textcopyright 2016 Elsevier B.V. All rights reserved.
2014
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Combining Representational Domains for Computational Creativity Proceedings Article
In: S., Ventura D. Lavrac N. Cook M. Colton (Ed.): Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014, Jozef Stefan Institute, 2014, ISBN: 978-961-264-055-2.
Abstract | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents
@inproceedings{augelloCombiningRepresentationalDomains2014,
title = {Combining Representational Domains for Computational Creativity},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
editor = { Ventura D. Lavrac N. Cook M. Colton S.},
isbn = {978-961-264-055-2},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014},
publisher = {Jozef Stefan Institute},
abstract = {The paper describes a combinatorial creativity module embedded in a cognitive architecture. The proposed module is based on the focus of attention model proposed by and is implemented using Self Organising Map (SOM) neural networks. Copyright textcopyright ICCC 2014.All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper describes a combinatorial creativity module embedded in a cognitive architecture. The proposed module is based on the focus of attention model proposed by and is implemented using Self Organising Map (SOM) neural networks. Copyright textcopyright ICCC 2014.All rights reserved.
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic Creativity Driven by Motivation and Semantic Analysis Proceedings Article
In: Proceedings - 2014 IEEE International Conference on Semantic Computing, ICSC 2014, pp. 285–289, IEEE Computer Society, 2014, ISBN: 978-1-4799-4002-8.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Cognitive Architectures, Computational Creativity, Creative Agents, Motivation, Natural Language Processing, PSI, Semantic Computing, Social Robots
@inproceedings{augelloRoboticCreativityDriven2014,
title = {Robotic Creativity Driven by Motivation and Semantic Analysis},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1109/ICSC.2014.58},
isbn = {978-1-4799-4002-8},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings - 2014 IEEE International Conference on Semantic Computing, ICSC 2014},
pages = {285--289},
publisher = {IEEE Computer Society},
abstract = {The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait. textcopyright 2014 IEEE.},
keywords = {Artificial intelligence, Chatbots, Cognitive Architectures, Computational Creativity, Creative Agents, Motivation, Natural Language Processing, PSI, Semantic Computing, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait. textcopyright 2014 IEEE.