DocumentCode
2099691
Title
Hybrid vision-force robot control for tasks on unknown smooth surfaces
Author
Leite, Antonio C. ; Lizarralde, Fernando ; Hsu, Liu
Author_Institution
Dept. of Electr. Eng., Fed. Univ. of Rio de Janeiro
fYear
2006
fDate
15-19 May 2006
Firstpage
2244
Lastpage
2249
Abstract
This work considers a hybrid force and vision control system for robotic manipulators using a force sensor and a fixed uncalibrated camera. A method is proposed to combine direct force control and adaptive visual servoing to perform tasks on unknown smooth surfaces, in the presence of uncertainties in the camera-robot system parameters. The considered task involves the visual tracking of a moving target, while the end-effector tip exerts a controlled contact force on the surface. Simulation results are presented to illustrate the performance of the proposed scheme
Keywords
adaptive control; end effectors; force control; force sensors; image motion analysis; image sensors; adaptive visual servoing; camera-robot system; end-effector; force sensor; hybrid vision-force robot control; robotic manipulators; uncalibrated camera; unknown smooth surfaces; Cameras; Control systems; Force control; Force sensors; Machine vision; Manipulators; Programmable control; Robot control; Robot sensing systems; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1050-4729
Print_ISBN
0-7803-9505-0
Type
conf
DOI
10.1109/ROBOT.2006.1642037
Filename
1642037
Link To Document