Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty
Name
Cheah-2010-Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty.pdf
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353.97 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Cheah, C. C.
Hou, Saing Paul
Zhao, Yu
Slotine, Jean-Jacques E.
Date Issued
April 2010
Journal
IEEE/ASME Transactions on Mechatronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chien Chern Cheah et al. “Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty.” IEEE/ASME Transactions on Mechatronics 15.3 (2010): 389–399. Web. 4 Apr. 2012. © 2010 Institute of Electrical and Electronics Engineers
Version
Final published version
Abstract
In force control applications of robots, it is difficult to obtain an exact model of a constraint surface. In presence of the constraint uncertainty, the robot needs to adapt to the uncertainty in external parameters due to the environment, in addition to the uncertainties in internal parameters of the robot kinematics and dynamics. In this paper, a visually servoed adaptive controller is proposed for motion and force tracking with uncertainties in the constraint surface, kinematics, dynamics, and camera model. We shall show that the robot can track the desired trajectories with the uncertain internal and external parameters updated online. This gives the robot a high degree of flexibility in dealing with changes and uncertainties in its model and the environment.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Nonlinear Systems Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tmech.2009.2027115
