DocumentCode :
2417648
Title :
Simple and robust visual servo control of robot arms using an on-line trajectory generator
Author :
Kröger, Torsten ; Padial, Jose
Author_Institution :
Artificial Intell. Lab., Stanford Univ., Stanford, CA, USA
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
4862
Lastpage :
4869
Abstract :
Common visual servoing methods use image features to define a signal error in the feedback loops of robot motion controllers. This paper suggests a new visual servo control scheme that uses an on-line trajectory generator as an intermediate layer between image processing algorithms and robot motion controllers. The motion generation algorithm is capable of computing an entire trajectory from an arbitrary initial state of motion within one servo control cycle (typically one millisecond or less). This algorithm is fed with desired pose and velocity signals that are generated by an image processing algorithm. The advantages of this new architecture are: (a) jerk-limited and continuous motions are guaranteed independently of image processing signals, (b) kinematic motion constraints as well as physical and/or artificial workspace limits can be directly considered, and (c) the system can instantaneously and safely react to sensor failures (e.g., if cameras are covered or image processing fails). Real-world experimental results using a seven-joint robot arm are presented to underline the relevance for the field of robust sensor-guided robot motion control.
Keywords :
manipulators; motion control; position control; robot vision; visual servoing; continuous motions; feedback loops; image processing algorithm; jerk-limited motion; motion generation algorithm; online trajectory generator; robot arms; robot motion controllers; robust visual servo control; seven-joint robot arm; Cameras; Image processing; Robot motion; Robot sensing systems; Trajectory; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6225175
Filename :
6225175
Link To Document :
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