We propose a new environment model for legged robots. The model stores information about the shape of the obstacles and terrain type. We also propose the motion planner which takes into account terrain types when planning the motion of the robot. The planner is based on A* graph search method that guides RRT-Connect method for precise motion planning. With the proposed navigation system the robot is capable of planning its motion on the terrain with various terrain types and avoid regions which are potentially risky. Finally, we provide results of the experiments which show the properties of the proposed perception system and motion planner.

 

References:
[1] D. Belter, J. Wietrzykowski, P. Skrzypczyński, Employing Natural Terrain Semantics in Motion Planning for a Multi-Legged Robot, Journal of Intelligent & Robotic Systems, 2018 (pdf)

[2] S. Bartoszyk, P. Kasprzak, D. Belter, Terrain-aware Motion Planning for a Walking Robot, Proceedings of the 11th International Workshop on Robot Motion and Control, Wasowo Palace, Poland, pp. 29-34, 2017 (pdf)