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Rough terrain mapping and classification for foothold selection in a walking robot

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2 Author(s)
Belter, D. ; Inst. of Control & Inf. Eng., Poznan Univ. of Technol., Poznań, Poland ; Skrzypczynski, P.

This paper presents an algorithm for real-time building of a local grid-based elevation map from noisy 2D range measurements of the Hokuyo URG-04LX miniature laser scanner. The terrain mapping module supports a foothold selection algorithm, which employs a polynomial-based approximation method to create an adaptive decision surface. The robot learns from simple simulations, therefore no a priori expert-given rules or parameters are used. The acquired terrain map and planned footholds enable the robot to walk more stable, avoiding slippages and fall-downs.

Published in:

Safety Security and Rescue Robotics (SSRR), 2010 IEEE International Workshop on

Date of Conference:

26-30 July 2010

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