DocumentCode
2943303
Title
Overall Inverse Kinematics Analysis of Parallel Robot Leg for Rescue Based on Rodrigues Parameters
Author
Cheng Gang ; Ge Shi-rong ; Li Ai-jun ; Wan Yong-jian
Author_Institution
Coll. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
95
Lastpage
99
Abstract
A new method to describe the position-stance of parallel robot leg was proposed based on the Rodrigues theory. Comparing with others methods, the kinematic model with Rodrigues parameters has the advantages including least computational parameters, no trigonometric function calculation and convenient real-time control. The model of the inverse kinematics was established and the inverse solutions of the position-stance were obtained by analyzing the topologic structure of the parallel robot leg with 3-RPS limb. According to the vectors of the manipulator, the velocity and acceleration models of moving platform, limbs and end-effector were deduced. By comparing with the normal walking gait of a human subject, the end-point trajectory of the parallel robot leg was better programmed. The experiment results showed the structure characteristics of the parallel robot leg and validated the model of the inverse kinematics. It was concluded that the parallel robot leg can fulfil the kinematic demand in the unconfigurable environment.
Keywords
manipulator kinematics; mining; service robots; Rodrigues parameters; Rodrigues theory; inverse kinematics analysis; manipulator; mine rescue robot; parallel robot leg; position-stance; real-time control; trigonometric function calculation; Humans; Inverse problems; Kinematics; Leg; Legged locomotion; Manipulators; Mobile robots; Parallel robots; Quaternions; Symmetric matrices; Rodrigues parameters; kinematic analysis; parallel robot; rescue;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.402
Filename
5203157
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