Summary
The problem of robot force and position trajectory tracking is revisited in the case of an uncertain mapping of a surface into the robot space; then, although it is possible to define the desired trajectories with respect to the constraint surface, the lack of knowledge of the constraint direction in the robot space, means that the position and force control subspaces are uncertain. Such a case arises when for example the surface is misplaced. A novel adaptive controller is proposed using estimates of the constraint surface normal direction that converge to the actual value; the controller drives the actual force and position errors to zero given a persistently excited desired velocity on the surface. The performance of the proposed controller is demonstrated by a simulation example.
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References
Arimoto, S.: Control Theory of Non-linear Mechanical Systems, A Passivity-based and Circuit-theoretic Approach. Oxford University Press, Oxford (1996)
Arimoto, S., Liu, Y., Naniwa, T.: Model-based adaptive hybrid control for geometrically constrained robots. In: Proc. IEEE 1993 International Conference on Robotics and Automation, May 1993, pp. 618–623 (1993)
Cheah, C.C., Kawamura, S., Arimoto, S.: Stability of hybrid position and force control for robotic kinematics and dynamics uncertainties. Automatica 39, 847–855 (2003)
Cheah, C.C., Liu, C., Slotine, J.J.E.: Approximate Jacobian adaptive control for robot manipulators. In: Proc. IEEE 2004 International Conference on Robotics and Automation, pp. 3075–3080 (2004)
Cheah, C.C., Zhao, Y., Slotine, J.J.E.: Adaptive Jacobian motion and force tracking control for constrained robots with uncertainties. In: Proc.IEEE 2006 International Conference on Robotics and Automation, May 2006, pp. 2226–2231 (2006)
Ioannou, P.A., Sun, J.: Robust Adaptive Control. Upper Saddle River, Prentice Hall (1996)
Kwan, C.M., Yesildirek, A., Lewis, F.L.: Robust force/motion control of constrained robots using neural network. Journal of Robotic Systems 16(12), 697–714 (1999)
Namvar, M., Aghili, F.: Adaptive force-motion control of coordinated robot interacting with geometrically unknown environments. IEEE Transactions on Robotics 21(4), 678–694 (2005)
Xiao, D., Ghosh, B., Xi, N., Tarn, T.J.: Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment. IEEE Transactions on Control System Technology 8(4), 635–645 (2000)
Yoshikawa, T., Sudou, A.: Dynamic hybrid position/force control of robot manipulators – on-line estimation of unknown constraint. IEEE Transactions on Robotics and Automation 9(2), 220–226 (1993)
Zhao, Y., Cheah, C.C., Slotine, J.J.E.: Adaptive vision and force tracking control for constrained robots. In: Proc.IEEE/RSJ 2006 International Conference on Intelligent Robots and Systems, October 2006, pp. 1484–1489 (2006)
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Karayiannidis, Y., Doulgeri, Z. (2008). Robot Force/Position Tracking on a Surface of Unknown Orientation. In: Bruyninckx, H., Přeučil, L., Kulich, M. (eds) European Robotics Symposium 2008. Springer Tracts in Advanced Robotics, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78317-6_26
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DOI: https://doi.org/10.1007/978-3-540-78317-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78315-2
Online ISBN: 978-3-540-78317-6
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