Exoskeleton robot power auxiliary control method based on artificial intelligence
By identifying the exoskeleton robot motion scenarios based on artificial intelligence and combining multiple power output indicators for parameter learning, the problem of insufficient intelligent and accurate power control is solved, and efficient, accurate and energy-saving power output is achieved.
CN119839839AActive Publication Date: 2025-04-18STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY +4
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Patent Information
- Application Number
- CN202510348312.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-24
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2045-03-24
AI Technical Summary
Technical Problem
The power assist control of existing exoskeleton robots is not intelligent and accurate enough, and it is difficult to dynamically adjust the power output according to specific sports scenes, resulting in low energy efficiency and poor user experience.
Method used
Using an artificial intelligence-based method, we can use the identification of body movement scenarios and combine multiple power output indicators to learn parameters, adjust the power parameters of the power device to achieve accurate adjustment of power output.
Benefits of technology
It improves the energy efficiency and user experience of exoskeleton robots, and achieves efficient, accurate and energy-saving power assistance in complex sports scenarios.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an exoskeleton robot power auxiliary control method based on artificial intelligence, and relates to the technical field of intelligent control. The method comprises the steps that a power device of the exoskeleton robot is determined; acquiring a plurality of indexes for power output of the auxiliary power device; obtaining a first motion scene, and performing parameter learning of an index sequence on the plurality of indexes according to the correlation between the first motion scene and the plurality of indexes to obtain auxiliary learning parameters; the power device controls a power motor to adjust power parameters according to the auxiliary learning parameters. The technical problems that in the prior art, power-assisted control of an exoskeleton robot is not intelligent and accurate enough, power output is difficult to dynamically adjust according to a specific motion scene, energy efficiency is low, and user experience is poor are solved. Accurate adjustment of power parameters of the power device is achieved, and therefore the technical effects of improving energy efficiency and enhancing user experience are achieved.
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