Course Detection from Integrated 3D Environment Measurement by Multiple Mobile Robots

This paper describes a novel selection method of course direction for a mobile robot. We focus on the scene when a mobile robot cannot select an appropriate course direction by its own sensor information. The proposed method enables appropriate selection of course direction for a mobile robot by integrating measured data acquired by multiple mobile robots. Experimental result shows that the proposed method can decide appropriate course direction for a mobile robot.

[1]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[2]  Denis Fernando Wolf,et al.  Terrain mapping and classification using Support Vector Machines , 2009, 2009 6th Latin American Robotics Symposium (LARS 2009).

[3]  Atsushi Yamashita,et al.  Fuzzy based traversability analysis for a mobile robot on rough terrain , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).