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Terrain prediction for an eight-legged robot

Research output: Contribution to journalArticle

Most legged robots must negotiate unknown environments with little or no terrain knowledge, as autonomous terrain mapping for robots is limited. A predictive terrain contour mapping strategy is proposed, which employs the use of a feed-forward neural network to predict the contours in environments, based on the positions of the neighboring legs. The predicted performance is better than previous implementations.
Original languageEnglish
Pages (from-to)91-98
JournalJournal of Robotic Systems
Issue number2
Early online date16 Jan 2002
Publication statusPublished - Feb 2002
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