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