An artificial intelligence-based bionic robot control logic acquisition method

By acquiring biological movement data and analyzing body posture changes, and using neural network training to obtain the control logic of the bionic robot, the problems of low motion efficiency and high noise in existing bionic robots have been solved, realizing efficient, energy-saving and low-noise bionic robot motion.

CN117021068BActive Publication Date: 2025-11-11HARBIN ENG UNIV
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Patent Information

Application Number
CN202310768792.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-28
Publication Date
2025-11-11
Estimated Expiration
2043-06-28

AI Technical Summary

Technical Problem

Existing bionic robots cannot achieve the same efficient, energy-saving, and low-noise movements as biological organisms. They merely mimic the postures of biological movements, which is insufficient to meet the requirements of missions requiring high stealth.

Method used

By using environmental information measurement technology and sensors to acquire biological movement data, a PIV experimental device was built to analyze changes in biological body posture. The mechanical joint structure of the biomimetic robot control system was constructed, the control logic was obtained through neural network training, and the control logic was verified using numerical simulation software. Finally, the optimized control logic was obtained.

Benefits of technology

This has improved the motion efficiency of bionic robots and reduced noise, making them more suitable for modern task requirements and enhancing their practical value.

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Abstract

This invention belongs to the interdisciplinary field of artificial intelligence methods and biomimetic technology, and relates to an AI-based method for acquiring the control logic of biomimetic robots. From the perspective of biomimetic robot control logic, its advantage lies in the fact that existing biomimetic robots merely mimic biological movement postures, making it difficult to achieve the energy-efficient, high-efficiency, and low-noise movements of living organisms, thus failing to meet current task requirements. Therefore, an AI-based method for acquiring the control logic of biomimetic robots is designed. This method uses artificial intelligence to obtain the control logic of biomimetic robots from real biological movement processes, aiming to improve the overall performance of biomimetic robots. Biomimetic robots that acquire control logic using this method can move more energy-efficiently and with lower noise, better meeting the needs of various current tasks and enhancing their practical value.
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