Abstract
Carrying heavy loads while walking is a physically demanding activity that often results in fatigue and even injury. Therefore, to alleviate this extra burden, wearable exoskeleton robots have been widely researched. Conventional exoskeleton robots typically employ a fixed gait frequency during walking, which can restrict the wearer’s mobility and lead to challenges such as the inability to coordinate obstacle-crossing movements. This paper proposes a centaur robot system based on a synchronized walking control scheme. Based on the combination of human lower limbs with the torso of a quadrupedal animal, we design a system with a pair of animal hind legs and a wearable torso. Furthermore, the system exhibits remarkable flexibility and adaptability. In this paper, we validate the feasibility of the synchronous walking control scheme for the centaur robot through WEBOTS, and demonstrate its outstanding performance in human-robot collaboration. In the simulation environment, the control deviation of the posture angles is within 0.1\(\textrm{rad}\), and the synchronization deviation rate of the walking is maintained within 0.05 s, achieving favorable control effectiveness. The control scheme enables the centaur system to achieve stride frequency synchronization with the wearer during locomotion, while ensuring the maintenance of stable load-carrying capacity.
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References
Leng, Y., Lin, X., Yang, L., Zhang, K., Chen, X., Fu, C.: A model for estimating the leg mechanical work required to walk with an elastically suspended backpack. IEEE Trans. Hum.-Mach. Syst. 52(6), 1303–1312 (2022). https://doi.org/10.1109/THMS.2021.3137012
Yang, L., Xu, Y., Zhang, K., Chen, K., Fu, C.: Allowing the load to swing reduces the mechanical energy of the stance leg and improves the lateral stability of human walking. IEEE Trans. Neural Syst. Rehabil. Eng. 29, 429–441 (2021). https://doi.org/10.1109/TNSRE.2021.3055624
Leng, Y., Lin, X., Lu, Z., Song, A., Yu, Z., Fu, C.: A model to predict ground reaction force for elastically-suspended backpacks. Gait Posture 82, 118–125 (2020)
Yang, L., Zhang, J., Xu, Y., Chen, K., Fu, C.: Energy performance analysis of a suspended backpack with an optimally controlled variable damper for human load carriage. Mech. Mach. Theory 146, 103738 (2020)
Wu, Y., Chen, K., Fu, C.: Effects of load connection form on efficiency and kinetics of biped walking. ASME J. Mech. Robot. 8(6), 061015 (2016). https://doi.org/10.1115/1.4034464
Yang, L., Xiong, C., Hao, M., Leng, Y., Chen, K., Fu, C.: Energetic response of human walking with loads using suspended backpacks. IEEE/ASME Trans. Mechatron. 27(5), 2973–2984 (2022). https://doi.org/10.1109/TMECH.2021.3127714
Zoss, A.B., Kazerooni, H., Chu, A.: Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE/ASME Trans. Mechatron. 11(2), 128–138 (2006). https://doi.org/10.1109/TMECH.2006.871087
Di Carlo, J., Wensing, P.M., Katz, B., Bledt, G., Kim, S.: Dynamic locomotion in the MIT cheetah 3 through convex model-predictive control. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 1–9 (2018). https://doi.org/10.1109/IROS.2018.8594448
Yang, P., et al.: A centaur system for assisting human walking with load carriage. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, pp. 5242–5248 (2022). https://doi.org/10.1109/IROS47612.2022.9981394
Camargo, J., Ramanathan, A., Flanagan, W., Young, A.: A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions. J. Biomech. 119, 110320 (2021). https://doi.org/10.1016/j.jbiomech.2021.110320. Epub 2021 Feb 20. PMID: 33677231
Magyar, B., Forhecz, Z., Korondi, P.: Developing an efficient mobile robot control algorithm in the Webots simulation environment. In: IEEE International Conference on Industrial Technology, Maribor, Slovenia, 2003, vol. 1, pp. 179–184 (2003). https://doi.org/10.1109/ICIT.2003.1290264
Acknowledgment
This work was supported in part by the National Natural Science Foundation of China [Grant U1913205, 52175272], in part by the Science, Technology, and Innovation Commission of Shenzhen Municipality [Grant: ZDSYS20200811143601004, JCYJ20220530114809021], and in part by the Stable Support Plan Program of Shenzhen Natural Science Fund under Grant 20200925174640002.
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Cheng, Q. et al. (2023). Simulation Analysis of Synchronous Walking Control for Centaur System. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14273. Springer, Singapore. https://doi.org/10.1007/978-981-99-6498-7_14
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DOI: https://doi.org/10.1007/978-981-99-6498-7_14
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