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.
[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
