Journal of Shanghai Jiaotong University ›› 2011, Vol. 45 ›› Issue (07): 985-989.

• Automation Technique, Computer Technology • Previous Articles     Next Articles

Collision Detection and Optimization of Dual-Arm Mobile Robot Based on Node Tree of VRML

 LIU  Zhong, CAO  Qi-Xin, ZHU  Xiao-Xiao, WANG  Wen-Shan   

  • Received:2010-09-06 Online:2011-07-29 Published:2011-07-29

Abstract: A large number of non-convex models exist in three-dimensional simulation environment for dual-arm mobile robots, it is impossible to realize accurate real-time collision detection. This paper proposed a method to implement convex decomposition of non-convex models based on node tree of VRML. Pass vertexes returned by convex decomposition to Quickhull algorithm to create convex polyhedron that used for V-Clip collision detection algorithm to realize accurate real-time collision detection. In order to improve the efficiency of collision detection to enhance real-time simulation, bounding box is used. The results show that this method can make real-time collision detection and has great precision.

Key words: dual-arm mobile robot, collision detection, virtual reality modeling language(VRML), V-Clip algorithm, bounding box

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