Admittance Force Tracking Control Schemes for Robot Manipulators under Uncertain Environment and Dynamics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-020-0959-7.pdf
Reference23 articles.
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2. Y. Lou, J. Wei, and S. Song, “Design and optimization of a joint torque sensor for robot collision detection,” IEEE Sensor Journal, vol. 19, no. 16, pp. 6618–6627, 2019.
3. Y. J. Heo, D. Y. Kim, W. Lee, H. K. Kim, J. H. Park, and W. K. Chung, “Collision detection for industrial collaborative robots: A deep learning approach,” IEEE Robots and Automation Letters, vol. 4, no. 2, pp. 740–746, 2019.
4. K. M. Park, J. H. Kim, J. H. Park, and F. C. Park, “Learning-based real-time detection of robot collisions without joint torque sensors,” IEEE Robots and Automation Letters, vol. 6, no. 1, pp. 103–110, 2019.
5. M. Raibert and J. J. Craig, “Hybrid position/force control of manipulators,” ASME Journal. of Dynamic Systems, Measurements, and Control, vol. 102, pp. 126–133, 1981.
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