Reference : Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/36477
Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks
English
Antonelo, Eric Aislan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Schrauwen, Benjamin [> >]
Stroobandt, Dirk [> >]
2008
Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA)
IEEE
911-916
Yes
International
978-1-4244-1646-2
2008 IEEE International Conference on Robotics and Automation
19-05-2008 to 23-05-2008
[en] In this work we tackle the road sign problem with reservoir computing (RC) networks. The T-maze task (a particular form of the road sign problem) consists of a robot in a T-shaped environment that must reach the correct goal (left or right arm of the T-maze) depending on a previously received input sign. It is a control task in which the delay period between the sign received and the required response (e.g., turn right or left) is a crucial factor. Delayed response tasks like this one form a temporal problem that can be handled very well by RC networks. Reservoir computing is a biologically plausible technique which overcomes the problems of previous algorithms such as backpropagation through time - which exhibits slow (or non-) convergence on training. RC is a new concept that includes a fast and efficient training algorithm. We show that this simple approach can solve the T-maze task efficiently.
http://hdl.handle.net/10993/36477
10.1109/ROBOT.2008.4543321
https://ieeexplore.ieee.org/document/4543321/

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