Space teleoperation mechanical arm on-orbit training system and method

Abstract

The invention discloses a space teleoperation mechanical arm on-orbit training system and method, and belongs to the technical field of space stations. Firstly, a trainer selects training scenes through an interactive interface, and physical characteristic parameters of a target object can be customized in each scene. Scene initial conditions are then set. After simulation is started, target object dynamics model related to the set parameters can be displayed in a virtual image mode through the augmented reality technology and fused with a real environment image, and the fused virtual-real combined image is input toVR glasses worn byan operator. The virtual target image is driven by data of the target object dynamics model to simulate real target dynamics characteristics. When an operatoruses the teleoperation device to control the mechanical arm to execute corresponding actions, the contact and collision process of the tail end of the mechanical arm and a target object and the stresscondition after collision can be simulated, so that the operator can truly feel the influence of different task loads on the mechanical arm and the influence on the attitude of the space station.

Description

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AI Technical Summary

Benefits of technology

This technology improves upon previous methods for controlling robots during operation without causing damage or injury when they touch objects. It allows users to interact directly with them while also providing an immersive learning experience where their movements become closer together like playing golf balls. Additionally, this new system includes a computerized version called RoboCup which helps train operators better at manipulating tools used inside industrial machines such as machine shops. Overall, these improvements improve safety and efficiency in various industries including manufacturing processes.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving the performance and usability of robots used at spaceships or other locations where they can perform work without being affected by external forces like gravity. Current simulations require extensive human labor and expensive equipment while also lacked adequate simulation trainings due to their complex mechanical structure and unpredictable behavior caused by changes over time. Therefore there needs an improved way to simulate these movements accurately and efficiently.

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