DocumentCode :
3601566
Title :
Improved Artificial Moment Method for Decentralized Local Path Planning of Multirobots
Author :
Wang-Bao Xu ; Xiao-Ping Liu ; Xuebo Chen ; Jie Zhao
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Univ. of Sci. & Technol., Anshan, China
Volume :
23
Issue :
6
fYear :
2015
Firstpage :
2383
Lastpage :
2390
Abstract :
An improved artificial moment method is presented for the decentralized local path planning of multirobots. In the method, coordinated and repulsive moments are improved with critical factors, attractive moments are improved with attractive angles, and attractive points are also improved. Furthermore, a modified method for robots final motion vectors is proposed, where if a robot has dangerous companions, then the superposition principle may not be used for its final motion vector. For these improvements, the artificial moment method can be used safely in complicated dynamical environments while high quality solutions are often yielded. Simulation results indicate that the improved method is effective.
Keywords :
collision avoidance; decentralised control; mobile robots; motion control; multi-robot systems; robot dynamics; attractive angles; attractive moments; attractive points; coordinated moments; critical factors; decentralized local path planning; dynamical environments; improved artificial moment method; motion vectors; multirobots; repulsive moment improvement; superposition principle; Collision avoidance; Motion control; Multi-robot systems; Path planning; Robot kinematics; Robot sensing systems; Collision avoidance; motion control; multirobot systems; path planning; path planning.;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2015.2402231
Filename :
7058351
Link To Document :
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