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
Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks
Antonelo, Eric Aislan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Schrauwen, Benjamin [> >]
Stroobandt, Dirk [> >]
Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA)
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.

File(s) associated to this reference

Fulltext file(s):

Open access
2008_eric_icra_Mobile Robot Control in the Road Sign Problem.pdfPublisher postprint399.06 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.