DocumentCode :
1575854
Title :
Virtual Sphere Algorithms for orthodrome-based collision-free & smooth robot motion
Author :
TM, Anand
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2009
Firstpage :
1530
Lastpage :
1536
Abstract :
A novel geometric algorithm is proposed that assures a smooth path around the obstacle by generating a virtual sphere around it. The spherical virtual sphere algorithm (SVSA) makes the end-effector (the outermost tip of a closed gripper and hence, considered a point object) of the robot manipulator navigate along the orthodrome, the shortest path connecting the end-points of the obstacle avoidance path on the virtual sphere. The exponential virtual sphere algorithm (EVSA), although uses a virtual sphere to determine the end-points of the obstacle avoidance path, makes the end-effector navigate along an exponential curve around the obstacle. A performance comparison of both these algorithms is presented, followed by achievements over the past algorithms. Unlike some of the existing algorithms that focus on recovering from local minima, virtual sphere algorithms (VSAs) avoid entering a concave obstacle due to the spherical encapsulation. Simplicity due to the geometric nature and guarantee of shortest path are major achievements of VSAs.
Keywords :
collision avoidance; end effectors; end-effector; exponential virtual sphere algorithm; obstacle avoidance path; orthodrome-based collision-free robot motion; robot manipulator; spherical encapsulation; spherical virtual sphere algorithm; Biomimetics; Grippers; Manipulator dynamics; Mobile robots; Motion control; Motion planning; Motion-planning; Navigation; Path planning; Robot motion; Manipulator motion-planning; Manipulators; Mobile robot motion-planning; Robot dynamics; Robot kinematics; Type — Regular Paper; smooth path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420404
Filename :
5420404
Link To Document :
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