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Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator

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Abstract

In this study, a cable-driven snake-like manipulator with high load capacity and end-positioning accuracy is designed for applications in complex and narrow environments. The Hooke joint-like two degree-of-freedom joint design and the full actuation mode enhanced the rigidity of the robot. The modular link design increased the local flexibility of the robot. Because the cable tension cannot be ignored under high load on the basis of the kinematics model, a cable tension model is established based on rigid body static equilibrium to describe the relationship between posture and cable tension. This provided a foundation for follow-up studies on obstacle avoidance path planning with optimized tension. At the same time, in order to improve the response speed of the motor position controller to the tension change, this study introduces both the tension as the reference model input and the system state variable into the adaptive control method based on model identification and reinforcement learning. The kinematics model and the cable tension model were validated by experiments on the prototype. The practical results of the two adaptive control methods were compared and the result shows that the method based on model identification has a better effect.

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References

  1. Walker, I.D., Hannan, M.W.: A novel ’elephant’s trunk’ robot. In: Proceedings of 1999 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 410–415 (1999)

  2. He, J., Liu, R., Wang, K., Shen, H.: The Mechanical Design of Snake–Arm Robot. In: IEEE 10Th International Conference on Industrial Informatics, pp. 758–761 (2012)

  3. Yao, Y., Du, Z., Wei, Z.: Research on Sanke–Arm robot assembly system. Aeronaut. Manuf. Technol. 58(21), 26–30 (2015)

    Google Scholar 

  4. Rone, WS, Saab, W, Ben-Tzvi, P.: Design, Modeling, and Integration of a Flexible Universal Spatial Robotic Tail. J. Mech. Robot. 10(4), 041001 (2018). https://doi.org/10.1115/1.4039500

    Article  Google Scholar 

  5. Hu, H., Wang, P., Zhao, B., Li, M., Sun, L.: Design of a novel snake–like robotic colonoscope. In: Proceedings of 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1957–1961 (2009)

  6. Degani, A., Choset, H., Wolf, A., Ota, T., Zenati, M.: Percutaneous intrapericardial interventions using a highly articulated robotic probe. In: Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006, pp. 7–12 (2006)

  7. Simaan, N.: Snake–Like Units using flexible backbones and actuation redundancy for enhanced miniaturization. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 3012–3017 (2005)

  8. Roppenecker, D.B., Schuster, L.S., Coy, J.A., Traeger, M.F., Entsfellner, K.: Modular Body of the Multi Arm Snake–Like Robot. In: 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), pp. 374–379 (2014)

  9. Noonan, D.P., Vitiello, V., Shang, J., Payne, C.J.: A Modular, Mechatronic Joint Design for a Flexible Access Platform for MIS. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 949–954 (2011)

  10. Danko, T.W., Oh, P.Y.: Design and control of a Hyper-Redundant manipulator for mobile manipulating unmanned aerial vehicles. J. Intell. Robot. Syst 73(1), 709–723 (2014). https://doi.org/10.1007/s10846-013--9935--2

    Article  Google Scholar 

  11. Bartow, A., Kapadia, A., Walker, I.D.: A novel continuum trunk robot based on contractor muscles. In: Proceedings of the 12th WSEAS International Conference on Signal Processing, Robotics, and Automation, pp. 181–186 (2013)

  12. Zhang, Z., Yang, G., Yeo, S.H., Lim, W.B., Mustafa, S.K.: Design optimization of a cable–driven two–DOF joint module with a flexible backbone. In: Proceedings of 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 385–390 (2010)

  13. Wei, Y., Zhiqiang, W., Fang, Z., Yanbin, Y.: Kinematical Analysis of an Underactuated Sanke–arm Robot. Mach. Electron. 0(11), 65–68 (2014)

    Google Scholar 

  14. Godage, I.S., Branson, D.T., Guglielmino, E., Caldwell, D.G.: Path Planning for Multisection Continuum Arms. In: 2012 IEEE International Conference on Mechatronics and Automation, pp. 1208–1213 (2012)

  15. Tian, L., Collins, C.: Motion planning for redundant manipulators using a floating point genetic algorithm. J. Intell. Robot. Syst. 38(3), 297–312 (2003). https://doi.org/10.1023/B:JINT.0000004973.29102.33

    Article  Google Scholar 

  16. Sreenivasan, S., Goel, P., Ghosal, A.: A real–time algorithm for simulation of flexible objects and hyper–redundant manipulators. Mech. Mach. Theory 45(3), 454–466 (2010). https://doi.org/10.1016/j.mechmachtheory.2009.10.005

    Article  MATH  Google Scholar 

  17. Degani, A., Choset, H., Zubiate, B., Ota, T., Zenati, M.: Highly articulated robotic probe for minimally invasive surgery. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3273–3276 (2008)

  18. Zhilin, X., Jianfeng, T., Chengliang, L.: Inverse Kinematics of Hyper-Redundant Snake-Arm Robots with Improved Tip Following Movement. ROBOT 40(1), 37–45 (2018). https://doi.org/10.13973/j.cnki.robot.170255

    Google Scholar 

  19. Craig, J.J.: Introduction to robotics: mechanics and control, vol. 3. Pearson/Prentice Hall, Upper Saddle River (2005)

    Google Scholar 

  20. Tran, L.D., Zhang, Z., Yeo, S.H., Sun, Y.C., Yang, G.L.: Control of a Cable–Driven 2–DOF Joint Module with a Flexible Backbone. In: 2011 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT), pp. 150–155 (2011)

  21. Tian, L, Collins, C.: Adaptive neuro–fuzzy control of a flexible manipulator. Mechatronics 15(10), 1305–1320 (2005). https://doi.org/10.1016/j.mechatronics.2005.02.001

    Article  Google Scholar 

  22. Wang, X.S., Cheng, Y.H., Yi, J.Q.: A fuzzy Actor–Critic reinforcement learning network. Inf. Sci. 177(18), 3764–3781 (2007). https://doi.org/10.1016/j.ins.2007.03.012

    Article  Google Scholar 

  23. Pradhan, S.K., Subudhi, B.: Real-Time Adaptive control of a flexible manipulator using reinforcement learning. IEEE Trans. Autom. Sci. Eng. 9(2), 237–249 (2012). https://doi.org/10.1109/TASE.2012.2189004

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Key R&D Program of China (Grant No.: 2018YFB1307400), the National Natural Science Foundation of China (Grant No.: 61873267, U1713224). The authors also appreciate the comments and valuable suggestions of reviewers and editors to improve the quality of the paper.

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Authors and Affiliations

  1. The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Dawei Xu, En Li, Zize Liang & Zishu Gao

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Dawei Xu & Zishu Gao

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  1. Dawei Xu
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  2. En Li
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  3. Zize Liang
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  4. Zishu Gao
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Correspondence to En Li.

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Xu, D., Li, E., Liang, Z. et al. Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator. J Intell Robot Syst 99, 211–228 (2020). https://doi.org/10.1007/s10846-019-01115-w

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  • DOI: https://doi.org/10.1007/s10846-019-01115-w

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