Activity Theory Based Model for Robotics Tasks Learning and Functional Reflection*

Based on the Cultural Historical Activity Theory (CHAT), the paper presents tasks learning robotics model. The model focuses on loop based learning, the abstract activity structure, and contradictions based functional learning through meaning emergence. Furthermore, the model introduces the "intellectual emotion" to anchor the components of learned tasks. Moreover, by proposing a preliminary experiment, the model had been discussed regarding specific robotics abilities such as functional perception and meaning emergence, abstraction and generalization, personification and interaction, including future work.

[1]  Patricia Shaw,et al.  An infant inspired model of reaching for a humanoid robot , 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

[2]  Peter Ford Dominey,et al.  DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self , 2017, IEEE Transactions on Cognitive and Developmental Systems.

[3]  Waldemar Karwowski,et al.  A Systemic-Structural Theory of Activity: Applications to Human Performance and Work Design , 2006 .

[4]  Jordan Zlatev,et al.  The Epigenesis of Meaning in Human Beings, and Possibly in Robots , 2001, Minds and Machines.

[5]  Bilge Mutlu,et al.  Robot behavior toolkit: Generating effective social behaviors for robots , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[6]  Frank Guerin,et al.  Constructivism in AI: Prospects, Progress and Challenges , 2008, AISB Convention.

[7]  Jeremy Kilpatrick,et al.  Types of Generalization in Instruction: Logical and Psychological Problems in the Structuring of School Curricula , 1990 .

[8]  Giulio Sandini,et al.  In Press, Ieee Transactions on Autonomous Mental Development , 2010 .

[9]  Gregory Z. Bedny,et al.  Application of Systemic-Structural Activity Theory to Design and Training , 2014 .

[10]  Rosiery Maia,et al.  Rules for Robotic Cooperation Based on Vygotsky and Piaget , 2015, 2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR).

[11]  Anders Kofod-Petersen,et al.  Using Activity Theory to Model Context Awareness , 2005, MRC.

[12]  Tom Ziemke,et al.  Grounding Motivation in Energy Autonomy - A Study of Artificial Metabolism Constrained Robot Dynamics , 2010, ALIFE.

[13]  C. Hofsten,et al.  Desiderata for Developmental Cognitive Architectures , 2016, BICA 2016.

[14]  J. Piaget,et al.  The Origins of Intelligence in Children , 1971 .

[15]  A. Luria.  Higher Cortical Functions in Man , 1980, Springer US.

[16]  J. Lindblom.  Embodied Social Cognition , 2015 .

[17]  D. Parisi,et al.  Towards a Vygotskyan cognitive robotics: The role of language as a cognitive tool , 2011 .

[18]  Tom Ziemke,et al.  Social Situatedness of Natural and Artificial Intelligence: Vygotsky and Beyond , 2003, Adapt. Behav..

[19]  Frederica Gonçalves,et al.  Emerging Opportunities for Ambient Intelligence in Creativity Support Tools , 2016, ISDA.

[20]  R. Brooks,et al.  Petitagé: A Case Study in Developmental Robotics , 2001 .

[21]  M. Kosok.  The Formalization of Hegel’s Dialectical Logic: Its Formal Structure, Logical Interpretation and Intuitive Foundation , 1966 .

[22]  Daniel N. Cassenti,et al.  Theoretical explorations of cognitive robotics using developmental psychology , 2011 .

[23]  Marinus H. van IJzendoorn,et al.  Klaus F. Riegel and dialectical psychology: in search for the changing individual in a changing society. , 1984, Storia e critica della psicologia.

[24]  Alexandre Bernardino,et al.  From human instructions to robot actions: Formulation of goals, affordances and probabilistic planning , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[25]  Jan Peters,et al.  Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..

[26]  F. S. Perotto.  A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems , 2013 .

[27]  A. N. Leontiev,et al.  Activity and Consciousness , 2016 .

[28]  S. Franklin,et al.  Computational modeling/cognitive robotics complements functional modeling/experimental psychology , 2011 .

[29]  Filipo Studzinski Perotto,et al.  Learning regularities with a constructivist agent , 2006, AAMAS '06.

[30]  Tom Ziemke,et al.  The body of knowledge: On the role of the living body in grounding embodied cognition , 2016, Biosyst..

[31]  Daniel E. O'Leary,et al.  Some Issues in Personalization of Intelligent Systems: An Activity Theory Approach for Meta Ontology Development , 2008, IFIP AI.

[32]  O. Tikhomirov,et al.  Perspectives on activity theory: The theory of activity changed by information technology , 1999 .

[33]  Georgi Stojanov,et al.  Structures, inner values, hierarchies and stages: essentials for developmental robot architectures , 2002 .

[34]  Jakob von Uexküll,et al.  The Theory of Meaning , 1982 .

[35]  Lynne E. Parker,et al.  Towards schema-based, constructivist robot learning: Validating an evolutionary search algorithm for schema chunking , 2008, 2008 IEEE International Conference on Robotics and Automation.

[36]  Smruti Amarjyoti.  Deep Reinforcement Learning for Robotic Manipulation - The state of the art , 2017, ArXiv.

[37]  J. Glozman,et al.  The Social Brain , 2013 .

[38]  Aleksandr I. Panov,et al.  Multilayer cognitive architecture for UAV control , 2016, Cognitive Systems Research.

[39]  James A. Crowder,et al.  Artificial Psychology: The Psychology of AI , 2013 .