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Event detection and localization in mobile robot navigation using reservoir computing

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Abstract
Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex events in autonomous robot navigation. This can be extended to robot localization based solely on sensory information. The robot thus builds an implicit map of the environment without the use of odometry data. These techniques are demonstrated in simulation on several complex and even dynamic environments.
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MAP

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Citation

Please use this url to cite or link to this publication:

Chicago
Antonelo, Eric, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt, and Marnix Nuttin. 2007. “Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing.” In Lecture Notes in Computer Science, 4669:660–669. Berlin: Springer.
APA
Antonelo, E., Schrauwen, B., Dutoit, X., Stroobandt, D., & Nuttin, M. (2007). Event detection and localization in mobile robot navigation using reservoir computing. LECTURE NOTES IN COMPUTER SCIENCE (Vol. 4669, pp. 660–669). Presented at the 17th International Conference on Artificial Neural Networks (ICANN 2007), Berlin: Springer.
Vancouver
1.
Antonelo E, Schrauwen B, Dutoit X, Stroobandt D, Nuttin M. Event detection and localization in mobile robot navigation using reservoir computing. LECTURE NOTES IN COMPUTER SCIENCE. Berlin: Springer; 2007. p. 660–9.
MLA
Antonelo, Eric, Benjamin Schrauwen, Xavier Dutoit, et al. “Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing.” Lecture Notes in Computer Science. Vol. 4669. Berlin: Springer, 2007. 660–669. Print.
@inproceedings{750257,
  abstract     = {Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex events in autonomous robot navigation. This can be extended to robot localization based solely on sensory information. The robot thus builds an implicit map of the environment without the use of odometry data. These techniques are demonstrated in simulation on several complex and even dynamic environments.},
  author       = {Antonelo, Eric and Schrauwen, Benjamin and Dutoit, Xavier and Stroobandt, Dirk and Nuttin, Marnix},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  isbn         = {978-3-540-74693-5},
  issn         = {0302-9743},
  keyword      = {MAP},
  language     = {eng},
  location     = {Oporto, PORTUGAL},
  pages        = {660--669},
  publisher    = {Springer},
  title        = {Event detection and localization in mobile robot navigation using reservoir computing},
  volume       = {4669},
  year         = {2007},
}

Web of Science
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