Implementation of motion-mapping algorithms on a teleoperation humanoid mechanical arm system during the COVID-19

Siyao Li

doi:10.1117/12.2641394

10 November 2022 Implementation of motion-mapping algorithms on a teleoperation humanoid mechanical arm system during the COVID-19

Siyao Li

Author Affiliations +

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123481V (2022) https://doi.org/10.1117/12.2641394
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

Robot teleoperation is defined as using a remote control to perform tasks requiring on-site operation while the operator is located far from the robot's on-site operable environment. COVID-19, an acute respiratory syndrome, has led to a rapid increase in people’s demand for robot teleoperation technology. By applying motion information from the human motion to a slave robot, the current study developed a teleoperation system to realize some medical processes remotely during COVID-19. This system has great potential to advance teleoperation technology during and after the pandemic. Our results show that the motion mapping algorithm possesses more accuracy and stability compared to the traditional kinematic method.

Citation Download Citation

Siyao Li "Implementation of motion-mapping algorithms on a teleoperation humanoid mechanical arm system during the COVID-19", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123481V (10 November 2022); https://doi.org/10.1117/12.2641394

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KEYWORDS

Associative arrays

Motion models

Robotics

Computer simulations

Detection and tracking algorithms

Data acquisition

Data modeling

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