DocumentCode :
2776774
Title :
Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control
Author :
Chen, Xin ; Li, Yangmin
Author_Institution :
Macau Univ., Taipa
fYear :
0
fDate :
0-0 0
Firstpage :
4193
Lastpage :
4200
Abstract :
It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are used to transport an object whose mass can not be ignored. From the viewpoint of formation, a leader-follower type control is designed. To overcome parameter uncertainty in modeling robot, a decentralized control law is applied to individual robots, in which an adaptive NN is used to model robot dynamics online. Using Lyapunov theory, we have proved that if all end-effectors of robots will keep proper relative distances with a regular formation to manipulate a heavy object, the object will be transported to the destination at last. But due to parameter uncertainties, there may exist a static position error, which can be reduced by proper selection of control coefficients.
Keywords :
Lyapunov methods; adaptive control; end effectors; mobile robots; multi-robot systems; neurocontrollers; Lyapunov theory; adaptive neural networks; cooperative transportation; leader-follower type control; multiple mobile manipulators; robot dynamics; Adaptive control; Centralized control; Distributed control; Force control; Manipulators; Neural networks; Programmable control; Robot kinematics; Robot sensing systems; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.246969
Filename :
1716678
Link To Document :
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