Using Echo state networks for robot navigation behavior acquisition

2007 IEEE International Conference on Robotics and Biomimetics, ROBIO

Volumn , Issue , 2007, Pages 201-206

  Hartland, Cedric ^a   Bredeche, Nicolas ^a  

^a UFR 919 Laboratoire d'Informatique Pour la Mécanique et les Sciences de l'Ingénieur   (France)

Author keywords

Behavior acquisition; Echo state networks; Mobile robotics; Robot programming by demonstration

Indexed keywords

AUTOMATION; BIOMIMETICS; DEMONSTRATIONS; EDUCATION; MERGERS AND ACQUISITIONS; NAVIGATION; ROBOTICS; TIME SERIES ANALYSIS;

BEHAVIOR ACQUISITION; ECHO STATE NETWORKS; EXPERIMENTAL CONDITIONS; FEATURE SELECTION; INTERNATIONAL CONFERENCES; MOBILE ROBOTICS; NAVIGATION TASKS; ROBOT BEHAVIORS; ROBOT NAVIGATION; ROBOT PROGRAMMING BY DEMONSTRATION; SENSORY DATA; TELE OPERATIONS; TEMPORAL SEQUENCING; TIME-SERIES PREDICTION;

ROBOTS;

EID: 49249099788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2007.4522160     Document Type: Conference Paper

References (19)

1. NIPS 2006 Workshop on Echo State Networks and Liquid State Machines, 2006. http://www.esn-lsm.tugraz.at/.
2. C. G. Atkeson and S. Schaal. Robot learning from demonstration. In Proc. 14th International Conference on Machine Learning, pages 12-20. Morgan Kaufmann, 1997.
3. A. Billard, K. Dautenhahn, and G. Hayes. Experiments on human-robot communication with robota, 1998.
4. A. Billard, Y. Epars, S. Calinon, G. Cheng, and S. Schaal. Discovering Optimal Imitation Strategies, in robotics. 47, 2004.
5. A. Billard and R. Siegwart. Special issue on robot learning from demonstration. Robotics And Autonomous Systems, 47(2-3):65-67, 2004.
6. S. Calinon and A. Billard. Learning of gestures by imitation in a humanoid robot. In Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, pages 153-177. Cambridge University Press, K. Dautenhahn and CL. Nehaniv edition, 2007.
7. K. Dautenhahn. The art of designing socially intelligent agents: science, fiction and the human in the loop. Applied Artificial Intelligence Journal, 1(7), 1998.
8. L. Hugues and N. Bredeche. Simbad : an autonomous robot simulation package for education and research. In Proceedings of The Ninth International Conference on the Simulation of Adaptive Behavior (SAB'06), pages 831-842., Rome, Italy, 2006.
9. L. Hugues and A. Drogoul. Synthesis of robot's behavior from few examples. In IEEE/RSJ International Conference on Intelligent Robots and Sytems, IROS'02, 2002.
10. H. Jaeger. The echo state approach to analysing and training recurrent neural networks. Technical report GMD report 148. German National Research Center for Information Technology, 2001.
11. H. Jaeger. A tutorial on training recurrent neural networks. covering bptt, rtrl, ekf, and the echo state network approach. GMD report 159. German National Research Center for Information Technology, 2002.
12. D. Katagami and S. Yamada. Real robot learning with human teaching. In The4-th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, pages 263-270, 2001.
13. M. N. Nicolescu and M. J. M. c. Natural methods for robot task learning: Instructive demonstrations, generalization and practice. In In Proceedings of the Second International Joint Conference on Autonomous Agents and MultiAgent Systems, 2003.
14. S. Nolfl and D. Floreano. Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. Cambridge, MA: MIT Press/Bradford Books, 2000.
15. M. C. Ozturk, D. Xu, and J. C. Principe. Analysis and design of echo state networks,. In Neural Computation, 19:1, pages 111-138. MIT Press, 2007.
16. M. Salmen and P. G. Ploger. Echo state networks used for motor control. In In Proceedings of the 2005 IEEE international conference on robotics and automation, pages 1953-1958, 2005.
17. J. Saunders, C. L. Nehaniv, and K. Dautenhahn. Teaching robots by moulding behavior and scaffolding the environment. In HRI '06: Proceeding of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, 2006.
18. R. Schapire. A brief introduction to boosting. In In Proceedings of International Joint ConferenceonArtificial Intelligence, pages 1401-1405, 1999.
19. R. Sutton and A. Barto. Reinforcement learning: An introduction. MIT Press, 1998.