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Anthropomorphic robotic arm with integrated elastic joints for TCM remedial massage

Published online by Cambridge University Press:  03 March 2014

Yuancan Huang ,
Jian Li ,
Qiang Huang  and
Philippe Souères
Yuancan Huang*
Affiliation:
Bionic Robot and System Key Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China CNRS, LAAS, 7 Avenue du colonel Roche, F-31400 Toulouse, France, and Univ de Toulouse, LAAS, F-31400 Toulouse, France
Jian Li
Affiliation:
Bionic Robot and System Key Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Qiang Huang
Affiliation:
Bionic Robot and System Key Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Philippe Souères
Affiliation:
CNRS, LAAS, 7 Avenue du colonel Roche, F-31400 Toulouse, France, and Univ de Toulouse, LAAS, F-31400 Toulouse, France
*
*Corresponding author. E-mail: yuancanhuang@bit.edu.cn
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Summary

For reproducing the manipulation of Traditional Chinese Medicine (TCM) remedial massage and meanwhile guaranteeing safety, a 4-degree-of-freedom anthropomorphic robotic arm with integrated elastic joints is developed, and a passivity-based impedance control is used. Due to the series elasticity, integrated joints may minimize large forces that occur during accidental impacts, and, further, may offer more accurate and stable force control and a capacity for energy storage. Human expert's fingertip force curve in the process of massage therapy is acquired in vivo by a dedicated measurement device. Then three massage techniques, pressing, kneading, and plucking, are implemented by the soft arm, respectively, on torso model in vitro and on human body in vivo. Experimental results show that the developed robotic arm can effectively replicate the TCM remedial massage techniques.

Keywords

Service robotsDesignForce controlRobot dynamicsModular robots
Type
Articles
Information
Robotica , Volume 33 , Issue 2 , February 2015 , pp. 348 - 365
Copyright
Copyright © Cambridge University Press 2014 

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References

1.Kume, M.et al., “Development of a mechanotherapy unit for examining the possibility of an intelligent massage robot,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka (1996) pp. 346–353.Google Scholar
2.Jones, K. C. and Winncy, D., “Development of a massage robot for medical therapy,” Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2003) pp. 1096–1101.Google Scholar
3.Koga, H.et al., “Development of oral rehabilitation robot for massage therapy,” Proceedings of International Special Topic Conference on ITAB, Tokyo (2007) pp. 111–114.Google Scholar
4.Grebenstein, M.et al., “The DLR Hand Arm System,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Shanghai, China (2011) pp. 3175–3128.Google Scholar
5.Tsagarakis, N. G.et al., “iCub: The design and realization of an open humanoid platform for cognitive and neuroscience research,” Adv. Robot. 21 (10), 1151–1175 (2007).Google Scholar
6.Huang, Y. C.et al., “Integrated rotary compliant joint and its impedance-based controller for single-joint pressing massage robot,” Proceedings of the IEEE International Conference on Robotics and Biomimetics, Guangzhou, China (2012) pp. 1962–1967.Google Scholar
7.Rivin, E. I., Mechanical Design of Robots (McGraw-Hill Book Company, New York, 1988).Google Scholar
8.Pratt, G. A. and Williamson, M., “Series elastic actuators,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Pittsburgh, PA (1995) pp. 399–406.Google Scholar
9.Pratt, J., Krupp, B. and Morse, C., “Series elastic actuators for high fidelity force control,” Int. J. Ind. Robot 29 (3), 234–241 (2002).Google Scholar
10.Robinson, D. W., Pratt, J. E., Paluska, D. J. and Pratt, G. A., “Series elastic actuator development for a biomimetic walking robot,” Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Atlanta, GA (1999) pp. 561–568.Google Scholar
11.Albu-Schäffer, A., Ott, C. and Hirzinger, G., “A unified passivity-based control framework for position, torque and impedance control of flexible joint,” Int. J. Robot. Res. 26 (1), 23–39 (2007).Google Scholar
12.Ott, C.et al., “On the passivity-based impedance control of flexible joint robots,” IEEE J. Robot. Auromat. 24 (2), 416–429 (2008).Google Scholar
13.Spong, M. W., “Modeling and control of elastic joint robots,” ASME J. Dynam. Syst. Meas. Contr. 109, 310–319 (1987).Google Scholar
14.Gunawardana, R. and Ghorbel, F., “The class of robot manipulators with bounded Jacobian of the gravity vector,” Proceedings of the IEEE International Conference on Robotics and Automation, Minneapolis, MN (1996) pp. 3677–3682.Google Scholar
15.Hogan, N., “Impedance control: An approach to manipulation, Part I – Theory, Part II – Implementation, Part III – Applications,” ASME J. Dyn. Syst. Meas. Control 107 (3), 1–24 (1985).Google Scholar
16.Otta, C., Albu-Schäffer, A. and Hirzinger, G., “A passivity-based Cartesian impedance controller for flexible joint robots-Part I: Torque feedback and gravity compensation,” Proceedings of the IEEE International Conference on Robotics and Automation (2004) pp. 2659–2665.Google Scholar
17.Albu-Schäffer, A., Otta, C. and Hirzinger, G., “A passivity-based Cartesian impedance controller for flexible joint robots-Part II: Full state feedback, impedance design and experiments,” Proceedings of the IEEE International Conference on Robotics and Automation (2004) pp. 2666–2673.Google Scholar
18.Zollo, L., et al., “Compliance control for an anthropomorphic robot with elastic joints: Theroy and experiments,” ASME J. Dyn. Syst. Meas. Control 127 (3), 321–328 (2005).Google Scholar
19.Vidyasagar, M., Nonlinear Systems Analysis (Prentice-Hall, 1978).Google Scholar
20.van der Schaft, A., L2-Gain and Passivity Techniques in Nonlinear Control, 2nd ed. (Springer-Verlag, New York, 2000).Google Scholar
21.Won, J. and Hogan, N., “Coupled stability of non-nodic physical systems,” IFAC Nonlinear Control Systems Design, Enschede, The Netherlands (1998) pp. 573–578.Google Scholar
22.Albu-Schäffer, A., Ott, C. and Hirzinger, G., “Passivity-based Cartesian impedance control for flexible joint manipulators,” 6th IFAC Symposium on Nonlinear Control Systems, Vol. 2, pp. 1175–1180 (2004).Google Scholar