Anytime Hybrid Driving-Stepping Locomotion Planning
518 views · Published 6 August 2017 · 4:35 · Indexed 5 October 2026
Channel: nimbro · 2017 · Science & Technology
Video attachement to paper Tobias Klamt and Sven Behnke: "Anytime Hybrid Driving-Stepping Locomotion Planning" IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017. http://www.ais.uni-bonn.de/papers/IROS_2017_Klamt.pdf Hybrid driving-stepping locomotion is an effective approach for navigating in a variety of environments. Long, sufficiently even distances can be quickly covered by driving while obstacles can be overcome by stepping. Our quadruped robot Momaro, with steerable pairs of wheels located at the end of each of its compliant legs, allows such locomotion. Planning respective paths attracted only little attention so far. We propose a navigation planning method which generates hybrid locomotion paths. The planner chooses driving mode whenever possible and takes into account the detailed robot footprint. If steps are required, the planner includes those. To accelerate planning, steps are planned first as abstract manoeuvres and are expanded afterwards into detailed motion sequences. Our method ensures at all times that the robot stays stable. Experiments show that the proposed planner is capable of providing paths in feasible time, even for challenging terrain.
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