DocumentCode :
716626
Title :
Locomotive reduction for snake robots
Author :
Xuesu Xiao ; Cappo, Ellen ; Weikun Zhen ; Jin Dai ; Ke Sun ; Chaohui Gong ; Travers, Matthew J. ; Choset, Howie
Author_Institution :
Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
3735
Lastpage :
3740
Abstract :
Limbless locomotion, evidenced by both biological and robotic snakes, capitalizes on these systems´ redundant degrees of freedom to negotiate complicated environments. While the versatility of locomotion methods provided by a snake-like form is of great advantage, the difficulties in both representing the high dimensional workspace configuration and implementing the desired translations and orientations makes difficult further development of autonomous behaviors for snake robots. Based on a previously defined average body frame and set of motion primitives, this work proposes locomotive reduction, a simplifying methodology which reduces the complexity of controlling a redundant snake robot to that of navigating a differential-drive vehicle. We verify this technique by controlling a 16-DOF snake robot using locomotive reduction combined with a visual tracking system. The simplicity resulting from the proposed locomotive reduction method allows users to apply established autonomous navigation techniques previously developed for differential-drive cars to snake robots. Best of all, locomotive reduction preserves the advantages of a snake robot´s ability to perform a variety of locomotion modes when facing complicated mobility challenges.
Keywords :
mobile robots; object tracking; path planning; robot vision; 16-DOF snake robot; autonomous navigation techniques; biological snakes; complexity reduction; complicated mobility challenges; differential-drive vehicle; limbless locomotion; locomotive reduction method; orientations; robotic snakes; snake-like form; translations; visual tracking system; workspace configuration; Cameras; Joints; Mobile robots; Navigation; Robot kinematics; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139718
Filename :
7139718
Link To Document :
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