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Stiffness analysis and experimental validation of modular-type hybrid antagonistic tendon-driven joint systems

Published online by Cambridge University Press:  30 July 2018

Hyunhwan Jeong
Affiliation:
Department of Electro-Mechanical Systems Engineering, Korea University, Sejong 30017, South Korea. E-mails: hyunhwanjeong@korea.ac.kr, gangbongi@korea.ac.kr
Bongki Kang
Affiliation:
Department of Electro-Mechanical Systems Engineering, Korea University, Sejong 30017, South Korea. E-mails: hyunhwanjeong@korea.ac.kr, gangbongi@korea.ac.kr
Joono Cheong*
Affiliation:
Department of Electro-Mechanical Systems Engineering, Korea University, Sejong 30017, South Korea. E-mails: hyunhwanjeong@korea.ac.kr, gangbongi@korea.ac.kr
*
*Corresponding author. E-mail: jncheong@korea.ac.kr

Summary

This paper proposes a new antagonistic tendon-driven joint (TDJ) that exhibits higher stiffness and larger travel range than conventional types of TDJs. A detailed mathematical analysis of the stiffness of the proposed TDJ is conducted and compared to other TDJs. The effect of the tendon length is taken into consideration to establish a more precise and realistic stiffness model of the proposed TDJ. Thereafter, two hardware prototypes of the proposed TDJ design, developed in the form of a packaged modular structure that integrates two TDJs, are introduced. Using these prototypes, the stiffness characteristics of the proposed TDJs are verified through experimentation. Additionally, experimental results on the stiffness behavior during the mimicked needle insertion tasks are provided. Results show that the proposed TDJs present much higher stiffness than conventional ones and thus give a potential benefit to precision manipulation.

Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

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References

1. Jacobsen, S. C., Ko, H., Iversen, E. K. and Davis, C. C., “Control strategies for tendon-driven manipulators,” IEEE Control Syst. Mag. 10 (2), 2328 (Feb. 1990).Google Scholar
2. Wang, D. and Vidyasagar, M., “Passive control of a stiff flexible link communication,” Int. J. Robot. Res. 11, 572578 (Dec. 1992).Google Scholar
3. Mizuuchi, I., Tajima, R., Yoshikai, T., Sato, D., Nagashima, K., Inaba, M., Kuniyoshi, Y. and Inoue, H., “The Design and Control of the Flexible Spine of a Fully Tendon-Driven Humanoid “kenta”,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3 (2002) pp. 2527–2532.Google Scholar
4. Kobayashi, H. and Ozawa, R., “Adaptive neural network control of tendon-driven mechanisms with elastic tendons,” Automatica 39 (9), 15091519 (2003).Google Scholar
5. Ma, S., Hirose, S. and Yoshinada, H., “Design and experiments for a coupled tendon-driven manipulator,” IEEE Control Syst. 13, 3036 (Feb. 1993).Google Scholar
6. Lens, T. and von Stryk, O., “Investigation of Safety in Human-Robot-Interaction for a Series Elastic, Tendon-Driven Robot Arm,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (Oct. 2012) pp. 4309–4314.Google Scholar
7. Oatis, C. A., Kinesiology (Lippincott Williams & Wilkins, Baltimore, 2004).Google Scholar
8. Gilardi, G., Haslam, E., Bundhoo, V. and Park, E. J., “A shape memory alloy based tendon-driven actuation system for biomimetic artificial fingers, Part II: Modelling and control,” Robotica 28 (5), 675687 (2010).Google Scholar
9. Vincent, W. J., Statistics in Kinesiology, vol. 10 (John Wiley & Sons, New York, 2005).Google Scholar
10. Jacobsen, S. C., Iversen, E. K., Knutti, D., Johnson, R. and Biggers, K., “Design of the Utah/M.I.T. Dextrous Hand,” Proceedings of the IEEE International Conference on Robotics and Automation (1986) pp. 1520–1532.Google Scholar
11. Loucks, C., Johnson, V., Boissiere, P., Starr, G. and Steele, J., “Modeling and Control of the Stanford/JPL Hand,” Proceedings of the IEEE International Conference on Robotics and Automation (1987) pp. 573–578.Google Scholar
12. Deshpande, A. D., Xu, Z., Weghe, M. J. V., Brown, B. H., Ko, J., Chang, L. Y., Wilkinson, D. D., Bidic, S. M. and Matsuoka, Y., “Mechanisms of the anatomically correct testbed hand,” IEEE/ASME Trans. Mechatron. 18 (1), 238250 (2013).Google Scholar
13. Grebenstein, M., Chalon, M., Friedl, W., Haddadin, S., Wimböck, T., Hirzinger, G. and Siegwart, R., “The hand of the DLR hand arm system: Designed for interaction,” Int. J. Robot. Res. 31 (13), 15311555 (2012).Google Scholar
14. Townsend, W. T., The Effect of Transmission Design on Force-Controlled Manipulator Performance Ph.D. Thesis (Cambridge, MA: Massachusetts Institute of Technology, 1988).Google Scholar
15. Ma, S., Hirose, S. and Yoshinada, H., “Design and experiments for a coupled tendon-driven manipulator,” IEEE Control Syst. 13 (1), 3036 (Feb. 1993).Google Scholar
16. Lens, T. and von Stryk, O., “Design and Dynamics Model of a Lightweight Series Elastic Tendon-Driven Robot Arm,” Proceedings of the IEEE International Conference on Robotics and Automation (2013) pp. 4512–4518.Google Scholar
17. Horigome, A., Yamada, H., Endo, G., Sen, S., Hirose, S. and Fukushima, E. F., “Development of a Coupled Tendon-Driven 3D Multi-Joint Manipulator,” Proceedings of the IEEE International Conference on Robotics and Automation (May 2014) pp. 5915–5920.Google Scholar
18. Massie, T. H. and Salisbury, J. K., “The Phantom Haptic Interface: A Device for Probing Virtual Objects,” Proceedings of the ASME Winter Annual Meeting, Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, vol. 55, Chicago, IL (1994) pp. 295–300.Google Scholar
19. Cho, Y., Cheong, J., Yi, B.-J. and Kim, W., “Cable Force-Balancing Distribution of the Cable-Driven Parallel Mechanism for Actuator Saturation Avoidance,” Proceedings of the International Conference of Control, Dynamic Systems, and Robotics (2017) pp. 113-1–113-3.Google Scholar
20. Kong, K. and Jeon, D., “Design and control of an exoskeleton for the elderly and patients,” IEEE/ASME Trans. Mechatron. 11 (4), 428432 (Aug. 2006).Google Scholar
21. Agrawal, S. K., Dubey, V. N., Gangloff, J. J., Brackbill, E., Mao, Y. and Sangwan, V., “Design and optimization of a cable driven upper arm exoskeleton,” J. Med. Devices 3 (3), 031004 (2009).Google Scholar
22. Marcheschi, S., Frisoli, A., Avizzano, C. A. and Bergamasco, M., “A Method for Modeling and Control Complex Tendon Transmissions in Haptic Interfaces,” Proceedings of the IEEE International Conference on Robotics and Automation (2005) pp. 1773–1778.Google Scholar
23. Yang, J., Xie, H. and Shi, J., “A novel motion-coupling design for a jointless tendon-driven finger exoskeleton for rehabilitation,” Mech. Mach. Theory 99, 83102 (2016).Google Scholar
24. Wittmeier, S., Jantsch, M., Dalamagkidis, K., Rickert, M., Marques, H. G. and Knoll, A., “CALIPER: A Universal Robot Simulation Framework for Tendon-Driven Robots,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (2011) pp. 1063–1068.Google Scholar
25. Radkhah, K., Lens, T. and von Stryk, O., “Detailed Dynamics Modeling of BioBiped's Monoarticular and Biarticular Tendon-Driven Actuation System,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, (2012) pp. 4243–4250.Google Scholar
26. Marques, H. G., Jäntsch, M., Wittmeier, S., Holland, O., Alessandro, C., Diamond, A., Lungarella, M. and Knight, R., “ECCE1: The First of a Series of Anthropomimetic Musculoskeletal Upper Torsos,” Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids) (2010) pp. 391–396.Google Scholar
27. Jovanovic, K., Potkonjak, V. and Holland, O., “Dynamic modeling of an anthropomimetic robot in contact tasks,” Adv. Robot. 28, 793806 (Apr. 2014).Google Scholar
28. Kozuki, T., Motegi, Y., Shirai, T., Asano, Y., Urata, J., Nakanishi, Y., Okada, K. and Inaba, M., “Design of Upper Limb by Adhesion of Muscles and Bones-Detail Human Mimetic Musculoskeletal Humanoid Kenshiro,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (2013) pp. 935–940.Google Scholar
29. Kaneko, M., Yamashita, T. and Tanie, K., “Basic Considerations on Transmission Characteristics for Tendon Drive Robots,” Proceedings of the 5th International Conference on Advanced Robotics ‘Robots in Unstructured Environments’, vol. 1 (Jun. 1991) pp. 827–832.Google Scholar
30. Lee, J. J., Tendon-Driven Manipulators: Analysis, Synthesis, and Control Ph.D Thesis (College Park, MD: University of Maryland, 1991).Google Scholar
31. Lee, Y.-H. and Lee, J.-J., “Modeling of the dynamics of tendon-driven robotic mechanisms with flexible tendons,” Mech. Mach. Theory 38, 14311447 (Dec. 2003).Google Scholar
32. Lee, J.-J. and Lee, Y.-H., “Dynamic analysis of tendon driven robotic mechanisms,” J. Robot. Syst. 20, 229238 (May 2003).Google Scholar
33. Wang, Z., Sun, Z. and Phee, S. J., “Modeling tendon-sheath mechanism with flexible configurations for robot control,” Robotica 31 (7), 11311142 (2013).Google Scholar
34. Ozawa, R., Kobayashi, H. and Hashirii, K., “Analysis, classification, and design of tendon-driven mechanisms,” IEEE Trans. Robot. 30 (2), 396410 (2014).Google Scholar
35. “Hardness conversion table,” Available at: https://mdmetric.com/tech/hardnessconversion.html. Accessed June 30, 2017.Google Scholar