ROBOT LEARNING BY DEMONSTRATION USING FORWARD MODELS OF SCHEMA-BASED BEHAVIORS

Adam Olenderski, Monica Nicolescu, Sushil Louis

2005

Abstract

A significant challenge in designing robot systems that learn from a teacher’s demonstration is the ability to map the perceived behavior of the trainer to an existing set of primitive behaviors. A main difficulty is that the observed actions may constitute a combination of individual behaviors’ outcomes, which would require a decomposition of the observation onto multiple primitive behaviors. This paper presents an approach to robot learning by demonstration that uses a potential-field behavioral representation to learn tasks composed by superposition of behaviors. The method allows a robot to infer essential aspects of the demonstrated tasks, which could not be captured if combinations of behaviors would not have been considered. We validate our approach in a simulated environment with a Pioneer 3DX mobile robot.

References

  1. Aleotti, J., Caselli, S., and Reggiani, M. (2004). Leveraging on a virtual environment for robot programming by demonstration. Robotics and Autonomous Systems, 47:153-161.
  2. Arbib, M. (1992). Schema theory. In S.Shapiro, editor, The Encyclopedia of Artificial Intelligence, pages 1427- 1443. Wiley-Interscience.
  3. Arkin, R. C. (1987). Motor schema based navigation for a mobile robot: An approach to programming by behavior. In IEEE Conference on Robotics and Automation, 1987, pages 264-271.
  4. Arkin, R. C. (1998). Behavior-Based Robotics. MIT Press, CA.
  5. Gaussier, P., Moga, S., Banquet, J., and Quoy, M. (1998). From perception-action loops to imitation processes: A bottom-up approach of learning by imitation. Applied Artificial Intelligence Journal, 12(78):701-729.
  6. Gerkey, B., Vaughan, R. T., and Howard., A. (2003). The player/stage project: Tools for multi-robot and distributed sensor systems. In Proc., the 11th International Conference on Advanced Robotics, pages 317-323.
  7. Hayes, G. and Demiris, J. (1994). A robot controller using learning by imitation. In Proc. of the Intl. Symp. on Intelligent Robotic Systems, pages 198-204, Grenoble, France.
  8. Mataric, M. J. (1997). Behavior-based control: Examples from navigation, learning, and group behavior. Journal of Experimental and Theoretical Artificial Intelligence, 9(2-3):323-336.
  9. Nicolescu, M. N. and Mataric, M. J. (2003). Natural methods for robot task learning: Instructive demonstration, generalization and practice. In Proc., Second Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems, Melbourne, Australia.
  10. Schaal, S. (1997). Learning from demonstration. Advances in Neural Information Processing Systems, 9:1040- 1046.
  11. Schaal, S. (1999). Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences, 6(3):323-242.
  12. Wolpert, D. and Kawato, M. (1998). Multiple paired forward and inverse models for motor control. Neural Networks, 11:1317-1329.
  13. Wolpert, D., Miall, R., and Kawato, M. (1998). Internal models in the cerebellum. Trends in Cognitive Science, 2:338-347.
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Paper Citation


in Harvard Style

Olenderski A., Nicolescu M. and Louis S. (2005). ROBOT LEARNING BY DEMONSTRATION USING FORWARD MODELS OF SCHEMA-BASED BEHAVIORS . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 972-8865-30-9, pages 263-269. DOI: 10.5220/0001186202630269


in Bibtex Style

@conference{icinco05,
author={Adam Olenderski and Monica Nicolescu and Sushil Louis},
title={ROBOT LEARNING BY DEMONSTRATION USING FORWARD MODELS OF SCHEMA-BASED BEHAVIORS},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2005},
pages={263-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001186202630269},
isbn={972-8865-30-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - ROBOT LEARNING BY DEMONSTRATION USING FORWARD MODELS OF SCHEMA-BASED BEHAVIORS
SN - 972-8865-30-9
AU - Olenderski A.
AU - Nicolescu M.
AU - Louis S.
PY - 2005
SP - 263
EP - 269
DO - 10.5220/0001186202630269