Terrain prediction for an eight-legged robot
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Terrain prediction for an eight-legged robot. / Urwin-Wright, Stephen; Sanders, David; Chen, Sheng.
In: Journal of Robotic Systems, Vol. 19, No. 2, 02.2002, p. 91-98.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Terrain prediction for an eight-legged robot
AU - Urwin-Wright, Stephen
AU - Sanders, David
AU - Chen, Sheng
PY - 2002/2
Y1 - 2002/2
N2 - 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.
AB - 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.
KW - Terrain prediction
KW - mobile
KW - robot
KW - legged,
U2 - 10.1002/rob.1072
DO - 10.1002/rob.1072
M3 - Article
VL - 19
SP - 91
EP - 98
JO - Journal of Robotic Systems
JF - Journal of Robotic Systems
IS - 2
ER -
ID: 1765670