Design and analysis of a lower limb assistive exoskeleton robot
Abstract
Background:
In recent years, exoskeleton robot technology has developed rapidly. Exoskeleton robots that can be worn on a human body and provide additional strength, speed or other abilities. Exoskeleton robots have a wide range of applications, such as medical rehabilitation, logistics and disaster relief and other fields.
Objective:
The study goal is to propose a lower limb assistive exoskeleton robot to provide extra power for wearers.
Methods:
The mechanical structure of the exoskeleton robot was designed by using bionics principle to imitate human body shape, so as to satisfy the coordination of man-machine movement and the comfort of wearing. Then a gait prediction method based on neural network was designed. In addition, a control strategy according to iterative learning control was designed.
Results:
The experiment results showed that the proposed exoskeleton robot can produce effective assistance and reduce the wearer’s muscle force output.
Conclusion:
A lower limb assistive exoskeleton robot was introduced in this paper. The kinematics model and dynamic model of the exoskeleton robot were established. Tracking effects of joint angle displacement and velocity were analyzed to verify feasibility of the control strategy. The learning error of joint angle can be improved with increase of the number of iterations. The error of trajectory tracking is acceptable.
References
[1]
Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature. 2015; 522(7555): 212-215.
[2]
Liu XP, Low KH. Development and preliminary study of the NTU lower extremity exoskeleton. IEEE Conference on Cybernetics & Intelligent Systems. 2005; 1243-1247.
[3]
Nasibeh B, Negin H, Nader JD, Shayan B. A systematic review of the use of commercial wearable activity trackers for monitoring recovery in individuals undergoing total hip replacement surgery. Cyborg and Bionic Systems. 2022; 2022: 1-16.
[4]
Chen G, Chan CK, Guo Z, Yu HY. A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy. Crit Rev Biomed Eng. 2013; 41(1): 4-5.
[5]
Mokhtari M, Abdulrazak B, Fki MA, et al. Integration of rehabilitation robotics in the context of smart homes: Application to assistive robotics. The Eighth International Conference on Rehabilitation Robotics. 2003. pp. 5-8. A1.
[6]
Nickel VL, Karchak A, Allen JR. Electric-ally powered orthotic systems. J Bone Joint Surg Am. 1969; 51(2): 343-351.
[7]
Bogue R. Robotic exoskeletons: A review of recent progress. Ind Robot. 2015; 42(1): 5-10.
[8]
Xie L, Huang G, Huang L, et al. An unpower-ed flexible lower-limb exoskeleton: Walking assisting and energy harvesting. IEEE-ASME T Mech. 2019; 24(5): 2236-2247.
[9]
Tu Y, Zhu A, Song J, et al. Design and experimental evaluation of a lower-limb exoskeleton for assisting workers with motorized tuning of assistance. IEEE T Neur Sys Reh. 2020; 28(10): 2276-2285.
[10]
Wan X, Liu Y, Akiyama Y, Yamada Y. Monitoring contact behavior during assisted walkin with a lower limb exoskeleton. IEEE T Neur Sys Reh. 2020; 28(4): 869-877.
[11]
Martínez A, Lawson B, Durrough C, Goldfarb M. A velocity-field-based controller for assisting leg movement during walking with a bilateral hip and knee lower limb exoskeleton. IEEE T Robot. 2019; 35(2): 307-316.
[12]
Dollar AM, Herr H. Lower extremity exoskeletons and active orthoses: Challenges and state-of-the-art. IEEE T Robot. 2018; 24(1): 144-158.
[13]
Zoss AB, Kazerrooni H, Chu A. Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE-ASME T Mech. 2006; 11(2): 128-138.
[14]
Zoss A, Kazerooni H, Chu A. On the mechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE International Conference on Intelligent Robots and Systems. 2005. pp. 3465-3472.
[15]
Kazerooni H, Steger R, Huang L. Hybrid control of the Berkeley lower extremity exoskeleton (BLEEX). Int J Robot Res. 2006; 25(5-6): 561-573.
[16]
Kazerooni H, Racine JL, Huang L, Steger R. On the control of the Berkeley lower extremity exoskeleton (BLEEX). International Conference on Robotics and Automation. 2005. pp. 4353-4360.
[17]
Chu A, Kazerooni H, Zoss A. On the biomimetic design of the Berkeley lower extremity exoskeleton (BLEEX). International Conference on Robotics and Automation. 2005. pp. 4345-4352.
[18]
Bogue R. Exoskeletons and robotic prosthetics: A review of recent developments. Ind Robot. 2009; 36(5): 421-427.
[19]
Ishida T, Kiyama T, Osuka K, et al. Movement analysis of power-assistive machinery with high strength-amplification. Proceedings of SICE Annual Conference. 2010. pp. 2022-2025.
[20]
Chu G, Hong J, Jeong DH, et al. The experiments of wearable robot for carrying heavy-weight objects of shipbuilding works. 2014 IEEE International Conference on Automation Science and Engineering. 2014. pp. 978-983.
[21]
Kwa HK, Noorden JH, Missel M, et al. Development of the IHMC mobility assist exoskeleton. 2009 IEEE International Conference on Robotics and Automation. 2009. pp. 2556-2562.
[22]
He Y, Nathan K, Venkatakrishnan, et al. An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton (V). 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2014. pp. 3985-3988.
[23]
Hayashi T, Kawamoto H, Sankai Y. Control method of robot suit HAL working as operator’s muscle using biological and dynamical information. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2005. pp. 3063-3068.
[24]
Sankai Y. Leading edge of cybernics: robot suit HAL. 2006 SICE-ICASE International Joint Conference. 2006. P-1-P-2.
[25]
Kawamoto H, Sankai Y. Power assist system HAL-3 for gait disorder person. Proc. int. conf. on Computers Helping People with Special Needs Berlin. 2002; 2398: 196-203.
[26]
Kawamoto H, Hayashi T, Sakurai T, et al. Development of single leg version of HAL for hemiplegia. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009. pp. 5038-5043.
[27]
Sakurai T, Sankai Y. Development of motion instruction system with interactive robot suit HAL. IEEE International Conference on Robotics & Biomimetics. 2009; 2009.
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Published: 01 January 2024
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