Structural design and analysis of exoskeleton handling robot based on virtual simulation technology in artificial intelligence environment

Authors

  • Dr.Satish Menon

Keywords:

Virtual Simulation Technology, Exoskeleton, Handling Robot, Structural Design

Abstract

 With the rapid development of our economy and the acceleration of the aging of the population, more and more manual jobs can not find suitable candidates, and the exoskeleton assisted transport robot(EATR) has become a research hotspot. Most of the existing exoskeleton assisted robots at home and abroad are expensive and complex in structure, which is not suitable for the actual needs of ordinary workers in India. Based on the virtual simulation technology(VST), the structure of exoskeleton assisted handling robot(EAHR) is designed and studied in this paper. Through the VST, the virtual prototype of the bone assisted handling robot is simulated, and the virtual prototype model of the exoskeleton robot(ER) is established. The driving function of each joint handling action is established for the human body(HB) handling action. The simulation results show that the movement trajectory of the lower limb joints of the ER is almost identical with the input angle of the lower limb joints of the HB's gait movement, and has high response and stability characteristics.

References

Caccianiga G , Mariani A , Paratesi C , et al. Multi-Sensory Guidance and Feedback for Simulation-Based Training in Robot Assisted Surgery: A Preliminary Comparison of Visual, Haptic, and Visuo-Haptic[J]. IEEE Robotics and Automation Letters, 2021, PP(99):1-1.

Han J , Yang S , Xia L , et al. Deterministic Adaptive Robust Control with a Novel Optimal Gain Design Approach for a Fuzzy 2DOF Lower Limb ER System[J]. IEEE Transactions on Fuzzy Systems, 2020, PP(99):1-1.

Hamaya M , Matsubara T , Teramae T , et al. design of physical user-robot interactions for model identification of soft actuators on ERs[J]. The International Journal of Robotics Research, 2021, 40(1):397-410.

Bhat K , Moschovas M , Onol F , et al. Evidence-based evolution of our robot-assisted laparoscopic prostatectomy (RALP) technique through 13,000 cases.[J]. Journal of robotic surgery, 2021, 15(4):651-660.

Li S , Pan J , Ji J , et al. Numerical Simulation of Thrombolysis in Robot- Assisted Retinal Vein Cannulation[J]. Complexity, 2020, 2020(4):1-12.

Bauer M O , Vizi M B , Galambos P , et al. Direct Drive Hand Exoskeleton for Robot-assisted Post Stroke Rehabilitation[J]. Acta Polytechnica Hungarica, 2021, 18(5):37-54.

Hussain F , Goecke R , Mohammadian M . ERs for lower limb assistance: A review of materials, actuation, and manufacturing methods:[J]. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2021, 235(12):1375-1385.

Mitchell D , Choi H S , Haney J M . Safety Perception and Behaviors during Human-Robot Interaction in Virtual Environments[J]. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2020, 64(1):2087-2091.

Borelli F . The Value Of Virtual Simulation Training: For Active Shooter Response[J]. Law Enforcement Technology, 2019, 46(3):30-32.

Little J . Using Virtual Simulation To Increase Deep Learning in Radiography Students[J]. Radiologic Technology, 2021, 92(4):324-330.

Liu W . The Effects of Virtual Simulation on Undergraduate Nursing Students' Beliefs about Prognosis and Outcomes for People with Mental Disorders[J]. Clinical Simulation in Nursing, 2021, 50(2):1-9.

Jaberzadehansari R , Karayiannidis Y . Task-based role adaptation for human- robot cooperative object handling[J]. IEEE Robotics and Automation Letters, 2021, PP(99):1-1.

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Published

2022-12-31

How to Cite

Menon, D. . (2022). Structural design and analysis of exoskeleton handling robot based on virtual simulation technology in artificial intelligence environment. The Journal of Contemporary Issues in Business and Government, 28(4), 2046–2056. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/2744