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A kind of biomimetic control method to anthropomorphize a redundant manipulator for complex tasks

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It is an urgent problem for robots to operate complex tasks with some unknown motion mechanisms caused by the strong coupling of force and motion. However, humans can perform complex tasks well due to their natural evolution and postnatal training. A novel biomimetic control method based on a human motion mechanism with high movement adaptability is proposed in this paper. The core is to present a novel variable-parameter compliance controller based on human operation mechanisms with an action-planning method derived from optimization by human motion, and the main contribution is to change the parameters of compliance controller according to human operating intention synchronized with humanoid motion; this change could establish a humanoid map between the force and motion for a seven degree-of-freedom redundant manipulator to deal with the unknown motion mechanism in complex tasks, so the redundant manipulator can operate complex tasks with high performance. Sufficient experiments were performed, and the results validated the effectiveness of the proposed algorithm.

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  1. Reichhardt T. NASA opens its arms to robot options for saving telescope. Nature, 2004, 429: 4

    Article  Google Scholar 

  2. Kirschner D, Velik R, Yahyanejad S, et al. A collaborative robot for piecing together a tangram puzzle. In: Proceedings of the 2016 Springer International Conference on Interactive Collaborative Robotics. Budapest: Springer, 2016. 243–251

    Google Scholar 

  3. Dietrich A, Wimbock T, Albu-Schaffer A, et al. Reactive whole-body control: dynamic mobile manipulation using a large number of actuated degrees of freedom. IEEE Robotics & Automation Magazine, 2012, 19: 20–33

    Article  Google Scholar 

  4. Diftler M A, Mehling J S, Abdallah M E, et al. Robonaut 2 - The first humanoid robot in space. In: Proceedings of the 2011 IEEE International Conference on Robotics & Automation. Shanghai: IEEE, 2011. 2178–2183

    Google Scholar 

  5. Iagnemma K, Overholt J. Analysis of human-robot interaction at the DARPA robotics challenge trials. J Field Robotics, 2015, 32: 420–444

    Article  Google Scholar 

  6. Dragan A, Srinivasa S. Integrating human observer inferences into robot motion planning. Auton Robot, 2014, 37: 351–368

    Article  Google Scholar 

  7. Hogan N. Impedance control: An approach to manipulation. Asme Trans J Dyn Syst Measurement Control, 1984, 107: 304–313

    Google Scholar 

  8. Wu C H, Hwang K S. Nonlinear neuromuscular control for robot compliance control. In: Proceedings of the 1993 IEEE International Symposium on Intelligent Control. Chicago: IEEE, 1993. 238–243

    Google Scholar 

  9. Al-Jarrah O M, Zheng Y F. Intelligent compliant motion control. IEEE Trans Syst Man Cyber-Part B, 1998, 28: 116–22

    Article  Google Scholar 

  10. Zhang W, Huang Q, Du P, et al. Compliance control of a humanoid arm based on force feedback. In: Proceedings of the 2005 IEEE International Conference on Information Acquisition. Hong Kong: IEEE, 2005. 528–531

    Google Scholar 

  11. Ott C, AlbuSchäffer, Alin, Kugi A, et al. Decoupling based Cartesian impedance control of flexible joint robots. In: Proceedings of the 2003 IEEE International Conference on Robotics & Automation. Taipei: IEEE, 2003. 3101–3107

    Google Scholar 

  12. Ikeura R. Optimal variable impedance control for a robot and its application to lifting an object with a human. In: Proceedings of the 2002 IEEE International Workshop on Robot & Human Interactive Communication. Berlin: IEEE, 2002. 500–505

    Google Scholar 

  13. Tsumugiwa T, Yokogawa R, Hara K. Variable impedance control based on estimation of human arm stiffness for human-robot cooperative calligraphic task. In: Proceedings of the 2017 IEEE International Conference on Robotics & Automation. Washington: IEEE, 2017. 644–650

    Google Scholar 

  14. Newman W S, Dohring M E. Augmented impedance control: An approach to compliant control of kinematically redundant manipulators. In: Proceedings of the 1991 IEEE International Conference on Robotics & Automation. Sacramento: IEEE, 1991. 30–35

    Google Scholar 

  15. Lin Z C, Patel R V, Balafoutis C A. Impact reduction for redundant manipulators using augmented impedance control. J Robotic Syst, 1995, 12: 301–313

    Article  Google Scholar 

  16. Ott C, Dietrich A, Albu-Schäffer A. Prioritized multi-task compliance control of redundant manipulators. Automatica, 2015, 53: 416–423

    Article  MathSciNet  Google Scholar 

  17. Malysz P, Sirouspour S. Trilateral teleoperation control of kinematically redundant robotic manipulators. Int J Robot Res, 2011, 30: 1643–1664

    Article  Google Scholar 

  18. Sentis L, Khatib O. Prioritized multi-objective dynamics and control of robots in human environments. In: Proceedings of the 4th IEEE/RAS International Conference on Humanoid Robots. Santa Monica: IEEE, 2004. 764–780

    Google Scholar 

  19. Platt R, Abdallah M, Wampler C. Multiple-priority impedance control. In: Proceedings of the 2011 IEEE International Conference on Robotics & Automation. Shanghai: IEEE, 2011. 6033–6038

    Google Scholar 

  20. Peng Z X, Adachi N. Compliant motion control of kinematically redundant manipulators. IEEE Trans Robot Automat, 1993, 9: 831–836

    Article  Google Scholar 

  21. Ficuciello F, Villani L, Siciliano B. Variable impedance control of redundant manipulators for intuitive human-robot physical interaction. IEEE Trans Robot, 2015, 31: 850–863

    Article  Google Scholar 

  22. Howard M, Braun D J, Vijayakumar S. Transferring human impedance behavior to heterogeneous variable impedance actuators. IEEE Trans Robot, 2013, 29: 847–862

    Article  Google Scholar 

  23. Kulic D, Venture G, Yamane K, et al. Anthropomorphic movement analysis and synthesis: A survey of methods and applications. IEEE Trans Robot, 2016, 32: 776–795

    Article  Google Scholar 

  24. Maciejasz P, Eschweiler J, Gerlach-Hahn K, et al. A survey on robotic devices for upper limb rehabilitation. J NeuroEng Rehabil, 2014, 11: 3

    Article  Google Scholar 

  25. Ott C, Mukherjee R, Nakamura Y. Unified impedance and admittance control. In: Proceedings of the 2010 IEEE International Conference on Robotics and Automation. Anchorage: IEEE, 2010. 554–561

    Google Scholar 

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Correspondence to ZhiHong Jiang or Hui Li.

Additional information

This work was supported by the National Key Research and Development Program of China (Grant No. 2018YFB1305300), the Key Program of the National Natural Science Foundation of China (Grant Nos. 61733001, U1713215), and the National Natural Science Foundation of China (Grant Nos. 61573063, 61873039).

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Mo, Y., Jiang, Z., Li, H. et al. A kind of biomimetic control method to anthropomorphize a redundant manipulator for complex tasks. Sci. China Technol. Sci. 63, 14–24 (2020).

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