Abstract
It is important to reduce the human workload by developing technologies such as a robot. However when developing a robot, one of main issues is that it is difficult to automate the loading task due to different shapes of object. The reasons are that it is difficult to detect the shape, to grab it, and to stack them efficiently. Therefore, it is desirable to use the flexibility of a human recognition and judgement by using a wearable assist robot. Many kinds of wearable assist robots are studied and developed. In certain working environment such as luggage stacked into a cargo in the airport, a twist motion is important for the laborer. In this paper, a wearable assist robot for a twist motion and a leaning motion is developed. It utilizes a motor unit with a lack spur gear for the safety and power efficiency is developed. The effectiveness of the robot is verified by the experiments.
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References
Donisi, L., Cesarelli, G., Coccia, A., Panigazzi, M., Capodaglio, E.M., D’Addio, G.: Work-related risk assessment according to the revised NIOSH lifting equation: a preliminary study using a wearable inertial sensor and machine learning. Sensors 21(8), 2593 (2021)
Qi, S., et al.: Review of multi-view 3D object recognition methods based on deep learning. Displays 69, 102053 (2021)
Nguyen, H., La, H.: Review of deep reinforcement learning for robot manipulation. In: 3rd IEEE International Conference on Robotic Computing (IRC) (2019)
Li, N., Yan, L., Qian, H., Wu, H., Wu, J., Men, S.: Review on lower extremity exoskeleton robot. Open Autom. Control Syst. J. 7, 441–453 (2015)
Ogata, T., et al.: Hybrid Assistive Limb (HAL) rehabilitation in patients with acute hemorrhagic stroke. Neurol. Med. Chir. 55(12), 901–906 (2015)
Zeng, D., et al.: The assist performance test of industrial passive waist-assistant exoskeleton on fatigue during a repetitive lifting task. J. Phys. Conf. Ser. 1748(6), 062039 (2021)
Inoue, H., Noritsugu, T.: Development of upper-limb power assist machine using linkage mechanism -drive mechanism and its applications-. J. Robot. Mechatron. 30(2), 214–222 (2018)
Jeong, M., Woo, H., Kong, K.: A study on weight support and balance control method for assisting squat movement with a wearable robot, angel-suit. Int. J. Control Autom. Syst. 18(1), 114–123 (2020)
Cho, F., Sugimoto, R., Noritsugu, T., Li, X.: Improvement of wearable power assist wear for low back support using pneumatic actuator. IOP Conf. Ser. Mater. Sci. Eng. 249, 012004 (2017)
Sano, S., Yagi, E., Sato, M.: Development of a wearable assist suit for walking and lifting-up motion using electric motors. J. Robot. Mechatron. 25(6), 923–930 (2013)
Lamers, E.P., Zelik, K.E.: Design, modeling, and demonstration of a new dual-mode back-assist exosuit with extension mechanism. Wearable Technol. 2(e1), 1–26 (2021)
Koblauch, H.: Low back load in airport baggage handlers. Dan. Med. J. 63(4), B5233 (2016)
Yin, P., Yang, L., Du, S., Qu, S., Jia, B., Zhao, N.: The effect of mobile wearable waist assist robot on lower back pain during lifting and handling tasks. Mob. Netw. Appl. 26, 988–996 (2021)
Terada, H., Makino, K., Matsumura, K., Karaki, M.: Development of a wearable assistive robot for baggage-loading operations. In: Beran, J., Bílek, M., Václavík, M., Žabka, P. (eds.) TMM 2020. MMS, vol. 85, pp. 239–248. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-83594-1_25
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Makino, K., Dobashi, Y., Karaki, M., Sun, X., Terada, H. (2022). Development of Wearable Assist Robot for Twist and Leaning Motion. In: Kecskeméthy, A., Parenti-Castelli, V. (eds) ROMANSY 24 - Robot Design, Dynamics and Control. ROMANSY 2022. CISM International Centre for Mechanical Sciences, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-031-06409-8_4
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DOI: https://doi.org/10.1007/978-3-031-06409-8_4
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