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Learning by Demonstration in Cooperative Human-robot Interaction Scenarios

Grant number: 12/12640-1
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Effective date (Start): November 01, 2012
Effective date (End): October 31, 2014
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Paulo Eduardo Santos
Grantee:Murilo Fernandes Martins
Host Institution: Campus de São Bernardo do Campo. Centro Universitário da FEI (UNIFEI). Fundação Educacional Inaciana Padre Sabóia de Medeiros (FEI). São Bernardo do Campo , SP, Brazil

Abstract

As robots become more accessible to humans, more intuitive and human-friendly methods of programming them are needed, chiefly with features such as interactive and group-aware behaviours.This project addresses a central problem which has not been sufficiently explored in the literature, the gap between Learning by Demonstration and Multi-robot systems. In particular, this proposal tackles the fundamental problem of learning multi-robot cooperative behaviour from concurrent multi-teacher demonstrations of task execution, where not only the performance at individual level must be taken in to account, but also the performance of the group as a whole.It is proposed the development, implementation and validation (through user experiments in a real environment) of a multi-layered framework for Learning by Demonstration in Multi-robot Systems. Such framework should be capable of a) extract and represent the structure of solutions to distinct tasks in hierarchical layers of abstraction; b) adapt such representations to new situations and user preferences; and c) jointly execute a given task with other robots and/or humans.

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Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PEREIRA, VALQUIRIA FENELON; COZMAN, FABIO GAGLIARDI; SANTOS, PAULO EDUARDO; MARTINS, MURILO FERNANDES; POZO, ATR; CAMARGO, HD; FURTADO, V; PINHEIRO, V. A Qualitative-Probabilistic Approach to Autonomous Mobile Robot Self Localisation and Self Vision Calibration. 2013 BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., . (12/12640-1, 12/04089-3)
GURZONI, JOSE A., JR.; SANTOS, PAULO E.; MARTINS, MURILO F.; COZMAN, FABIO G.; IEEE. Probabilistic Logic for Multi-Robot Event Recognition. 2013 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY, AND RESCUE ROBOTICS (SSRR), v. N/A, p. 2-pg., . (12/04089-3, 12/12640-1)
SANTOS, PAULO E.; MARTINS, MURILO F.; FENELON, VALQUIRIA; COZMAN, FABIO G.; DEE, HANNAHM.. Probabilistic self-localisation on a qualitative map based on occlusions. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, v. 28, n. 5, p. 19-pg., . (12/04089-3, 12/12640-1)
SANTOS, PAULO E.; MARTINS, MURILO F.; FENELON, VALQUIRIA; COZMAN, FABIO G.; DEE, HANNAHM.. Probabilistic self-localisation on a qualitative map based on occlusions. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, v. 28, n. 5, SI, p. 781-799, . (12/04089-3, 12/12640-1)
BIANCHI, REINALDO A. C.; MARTINS, MURILO F.; RIBEIRO, CARLOS H. C.; COSTA, ANNA H. R.. Heuristically-Accelerated Multiagent Reinforcement Learning. IEEE TRANSACTIONS ON CYBERNETICS, v. 44, n. 2, p. 252-265, . (11/19280-8, 12/04089-3, 11/17610-0, 12/12640-1)

Please report errors in scientific publications list by writing to: gei-bv@fapesp.br.