Event detection and localization in mobile robot navigation using reservoir computing

[en] Reservoir Computing (RC) uses a randomly created recur- rent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex events in autonomous robot navi- gation. 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.

Disciplines :

Computer science

Author, co-author :

Antonelo, Eric Aislan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Schrauwen, Benjamin

Dutoit, Xavier

Stroobandt, Dirk

Nuttin, Marnix

External co-authors :

yes

Language :

English

Title :

Event detection and localization in mobile robot navigation using reservoir computing

Publication date :

2007

Event name :

Artificial Neural Networks – ICANN 2007

Event date :

09-09-2007 to 13-09-2007

Audience :

International

Main work title :

Artificial Neural Networks -- ICANN 2007

Publisher :

Springer-Verlag

ISBN/EAN :

978-3-540-74695-9

Collection name :

Lecture Notes in Computer Science, vol 4669

Peer reviewed :

Peer reviewed

Additional URL :

https://link.springer.com/chapter/10.1007/978-3-540-74695-9_68

Available on ORBilu :

since 29 August 2018

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Bibliography

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