DocumentCode :
2021391
Title :
Operational space dynamics: efficient algorithms for modeling and control of branching mechanisms
Author :
Chang, Kyong-Sok ; Khatib, Oussama
Author_Institution :
Robotics Lab., Stanford Univ., CA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
850
Abstract :
This paper discusses intuitive and efficient ways to model and control the dynamics of highly redundant branching mechanisms using the operational space formulation. As the complexity of mechanisms increases, their modeling and control become increasingly difficult. The operational space formulation provides a natural framework for these problems since its basic structure provides dynamic decoupling among multiple tasks and posture behaviors. Efficient recursive algorithms are presented for the computation of the operational space dynamics of branching mechanisms with multiple operational points. The application of these algorithms results in a significant increase in the interactivity and usability of dynamic control of complex branching mechanisms. The experimental results are presented using real-time dynamic simulation
Keywords :
Jacobian matrices; computational complexity; optimal control; robot dynamics; robot kinematics; Jacobian matrix; branching robots; computational complexity; inertia matrix; kinematics; operational space dynamics; optimal control; recursive algorithms; Biological system modeling; Equations; Force control; Heuristic algorithms; Humanoid robots; Null space; Orbital robotics; Real time systems; Torque control; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1050-4729
Print_ISBN :
0-7803-5886-4
Type :
conf
DOI :
10.1109/ROBOT.2000.844156
Filename :
844156
Link To Document :
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