DocumentCode :
2951594
Title :
Task-oriented inverse kinematics of modular reconfigurable robots
Author :
Wenqiang Wu ; Yisheng Guan ; Huaizhu Li ; Manjia Su ; Haifei Zhu ; Xuefeng Zhou ; Hong Zhang
Author_Institution :
Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
1187
Lastpage :
1192
Abstract :
Consisting of a set of modules with the same connection interfaces, different configurations of modular robot can be assembled for different tasks, with high adaptation in complicated environments. Because of the variational task and changeable configuration of modular reconfigurable robots, it is very hard to solve the kinematics of all the configurations by traditional algebraic methods. To solve this problem, we present a method to automatically generate the kinematics of modular reconfigurable robot. We first introduce our modular robot system, including the description of the basic modules, the description of topology and the generation of configuration, we then discuss about the task-oriented inverse kinematics with the mixed iteration method and evaluation method. The configurations of modular robots for biped pole-climbing and for manipulating are implemented, with them inverse kinematics as two examples of application of the presented method. The results confirmed the validity and suitability of the algorithm for serial type modular reconfigurable robots.
Keywords :
matrix algebra; robot kinematics; self-adjusting systems; biped pole-climbing; evaluation method; inverse kinematics; mixed iteration method; modular reconfigurable robots; modular robot system; traditional algebraic methods; Assembly; Grippers; Jacobian matrices; Joints; Kinematics; Robot kinematics; Configuration generation; Inverse kinematics; Modular reconfigurable robot; Task-oriented;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584255
Filename :
6584255
Link To Document :
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