Terrain prediction for an eight‐legged robot | Zendy

UrwinWright Stephen | Zendy; Sanders David | Zendy; Chen Sheng | Zendy

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Terrain prediction for an eight‐legged robot

Author(s) -

UrwinWright Stephen,

Sanders David,

Chen Sheng

Publication year - 2002

Publication title -

journal of robotic systems

Language(s) - English

Resource type - Journals

eISSN - 1097-4563

pISSN - 0741-2223

DOI - 10.1002/rob.1072

Subject(s) - terrain , robot , implementation , artificial intelligence , artificial neural network , computer science , computer vision , cartography , geography , programming language

Most legged robots must negotiate unknown environments with little or no terrain knowledge, as autonomousterrain mapping for robots is limited. A predictive terrain contour mapping strategy is proposed, which employsthe use of a feed‐forward neural network to predict the contours in environments, based on the positions ofthe neighboring legs. The predicted performance is better than previous implementations. © 2002 John Wiley& Sons, Inc.

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