Competence Acquisition in an Autonomous Mobile Robot using Hardware Neural Techniques

Part of Advances in Neural Information Processing Systems 8 (NIPS 1995)

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Geoffrey Jackson, Alan Murray


In this paper we examine the practical use of hardware neural networks in an autonomous mobile robot. We have developed a hardware neural system based around a custom VLSI chip, EP(cid:173) SILON III, designed specifically for embedded hardware neural applications. We present here a demonstration application of an autonomous mobile robot that highlights the flexibility of this sys(cid:173) tem. This robot gains basic mobility competence in very few train(cid:173) ing epochs using an "instinct-rule" training methodology.