DocumentCode :
300179
Title :
Large force-task planning for mobile and redundant robots
Author :
Papadopoulos, Evangelos ; Gonthier, Yves
Author_Institution :
Dept. of Mech. Eng. & Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Volume :
2
fYear :
1995
fDate :
5-9 Aug 1995
Firstpage :
144
Abstract :
This paper analyzes the application of large force/torques by robotic systems with limited force/torque actuators. It is shown that such system may be able to apply a force/torque in some configurations only; therefore its useful force workspace is limited. To improve the force capabilities of a system, base mobility and/or redundancy can be employed. A planning algorithm is proposed which results in proper base positioning relative to a large-force quasi-static task. To plan redundant manipulator postures during large force-tasks, a new method based on a min-max optimization scheme is developed. Unlike norm-based methods, this method guarantees that no actuator capabilities are exceeded, and that the force/torque of the most loaded joint is minimized. Examples that demonstrate the validity and usefulness of the proposed methods are included
Keywords :
actuators; force control; manipulators; minimax techniques; mobile robots; path planning; planning (artificial intelligence); position control; redundancy; torque control; force-task planning; force/torque actuators; min-max optimization; mobile robot; posture planning; redundancy; redundant manipulators; Actuators; Animals; Humans; Intelligent actuators; Intelligent robots; Joints; Mechanical engineering; Mobile robots; Motion control; Optimization methods; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-7108-4
Type :
conf
DOI :
10.1109/IROS.1995.526152
Filename :
526152
Link To Document :
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