Adaptive Robust Control for Bimanual Cooperative Contact Teleoperation with Relative Jacobian Matrix
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Due to the time delay in bilateral teleoperation, human reaction lags behind changes in the object state and the operating environment, which cannot solve unexpected accidents. An adaptive robust control strategy is proposed in this paper to address this problem. Inspired by human operational habits, two slaves are first divided into the dominant slave and the non-dominant slave with different functions. The non-dominant slave helps the dominant slave in humanoid style, as measured by relative Jacobian matrix. Then, the slaves’ reactions are divided into three stages: initial stage, adjustment stage, and recovery stage. In the second stage, the non-dominant slave helps the dominant slave according to its current state, and then they both track the master’s state in the third stage. The controllers of the two slaves are also designed differently. The dominant slave follows the dominant hand’s motions. Thus, an adaptive method is used based on RBF-neural networks to suppress uncertain system dynamics and forces. The non-dominant slave controller is designed in three stages consisting of three parts: the relative term, designed for collaborative motions; the shared term for sharing control signals from the dominant side; and the independent term for processing local disturbance. Finally, numerical experiments show the effectiveness of the proposed teleoperation architecture.
KeywordsAdaptive control Relative Jacobian matrix RBF-neural networks Teleoperation Contact force
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This work was supported by the National Science Fund for Distinguished Young Scholars of China Grant No. 61725303 and the National Natural Science Foundation of China Grant No. 61773317 and the Fundamental Research Funds for the Central Universities Grant No. 3102016BJJ03.
- 13.Shahbazi, M., Talebi, H.A., Atashzar, S.F., Towhidkhah, F., Patel, R.V., Shojaei, S.: A novel shared structure for dual user systems with unknown time-delay utilizing adaptive impedance control. In: IEEE international conference on robotics and automation, pp 2124–2129 (2011)Google Scholar
- 15.Cheung, Y., Chung, J.H.: Semi-autonomous control of single-master multi-slave teleoperation of heterogeneous robots for multi-task multi-target pairing. Int. J. Control. Autom. 4, 1–17 (2011)Google Scholar
- 17.Sirouspour, S., Setoodeh, P.: Multi-operator/multi-robot teleoperation: an adaptive nonlinear control approach. In: IEEE international conference on intelligent robots and systems, pp 1576–1581 (2005)Google Scholar
- 20.Lee, D., Spong, M.W.: Bilateral teleoperation of multiple cooperative robots over delayed communication networks: theory. In: IEEE international conference on robotics and automation, pp 360–365 (2005)Google Scholar
- 21.Lee, D., Martinez, P.O., Spong, M.W.: Bilateral teleoperation of multiple cooperative robots over delayed communication networks: applications. In: IEEE international conference on robotics and automation, pp 366–371 (2005)Google Scholar
- 26.Kanno, T., Yokokohji, Y.: Multilateral teleoperation control over time-delayed computer networks using wave variables. In: IEEE international conference on Haptics symposium, pp 125–131 (2012)Google Scholar
- 28.Ma, L., Yan, J., Zhao, J., Chen, Z., Cai, H.: Teleoperation system of internet-based multi-operator multi-mobile-manipulator. In: IEEE international conference on electrical and control engineering, pp 2236–2240 (2010)Google Scholar
- 33.Balakrishnan, R., Hinckley, K.: Symmetric bimanual interaction. In: SIGCHi conference on human factors in computing systems, pp 33–40 (2000)Google Scholar
- 36.Pierre, R.B.: Estimation of angular velocity and acceleration from shaft encoder measurements. In: International conference on robotics and automation, pp 585–589 (1992)Google Scholar