DocumentCode :
2247077
Title :
Optimal landmark configuration for vision-based control of mobile robots
Author :
Burschka, Darius ; Geiman, Jeremy ; Hager, Gregory
Author_Institution :
Comput. Interaction & Robotics Lab., Johns Hopkins Univ., Baltimore, MD, USA
Volume :
3
fYear :
2003
fDate :
14-19 Sept. 2003
Firstpage :
3917
Abstract :
We analyze the problem of finding the optimal placement of tracked primitives for robust vision-based control of a mobile robot. The analysis evaluates the properties of the Image Jacobian matrix, used for direct generation of the control signals from the error signal in the image, and the accuracy of the underlying sensor system. The analysis is then used to select optimal tracking primitives that ensure good observability and controllability of the mobile system for a variety of sensor system configurations. The theoretical results are validated with our mobile robot for system configurations that use standard video cameras mounted on a pan-tilt head and catadioptric systems.
Keywords :
Jacobian matrices; controllability; image sensors; mobile robots; observability; robot vision; robust control; tracking; video cameras; catadioptric systems; control signals; controllability; error signal; image Jacobian matrix; mobile robots; mobile system; observability; optimal landmark configuration; optimal placement; optimal tracking; pan-tilt head system; robust vision-based control; sensor system configurations; video cameras; Control systems; Image analysis; Jacobian matrices; Mobile robots; Optimal control; Robot control; Robust control; Sensor systems; Signal analysis; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-7736-2
Type :
conf
DOI :
10.1109/ROBOT.2003.1242198
Filename :
1242198
Link To Document :
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