Terrain prediction for an eight-legged robot
Research output: Contribution to journal › Article
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.
|Journal||Journal of Robotic Systems|
|Early online date||16 Jan 2002|
|Publication status||Published - Feb 2002|