Robot Arm Design and Application Case Analysis Combining Artificial Intelligence and Bionics

With the application of artificial intelligence (AI) technology in medical diagnosis, treatment, and rehabilitation, combining AI with bionics to design more intelligent and adaptable robotic arms can improve the effectiveness of rehabilitation training. However, there are still many challenges in accurately identifying and simulating the movement patterns of the human arm. In this article, we investigated the application of bionics in the design of artificial joints and motion-assistive devices, as well as the role of machine learning and deep learning in motion pattern recognition and electromyography signal processing. In addition, combining AI with bionic technology, we designed and developed a bionic rehabilitation arm with highly intelligent and personalized features. The arm excels in motion pattern recognition and electromyography signal processing and can effectively enhance the effectiveness of rehabilitation training.

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Publication Details

Published
2025-04-12
DOI
https://doi.org/10.1109/robothia63806.2025.10986729
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
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article

Robot Arm Design and Application Case Analysis Combining Artificial Intelligence and Bionics

Nuo Pang, Mustaffa Halabi Azahari
Robot Manipulation and Learning
article

Robot Arm Design and Application Case Analysis Combining Artificial Intelligence and Bionics

Nuo Pang, Mustaffa Halabi Azahari
article en

Abstract

With the application of artificial intelligence (AI) technology in medical diagnosis, treatment, and rehabilitation, combining AI with bionics to design more intelligent and adaptable robotic arms can improve the effectiveness of rehabilitation training. However, there are still many challenges in accurately identifying and simulating the movement patterns of the human arm. In this article, we investigated the application of bionics in the design of artificial joints and motion-assistive devices, as well as the role of machine learning and deep learning in motion pattern recognition and electromyography signal processing. In addition, combining AI with bionic technology, we designed and developed a bionic rehabilitation arm with highly intelligent and personalized features. The arm excels in motion pattern recognition and electromyography signal processing and can effectively enhance the effectiveness of rehabilitation training.

Dalian University of Technology (CN), City University Malaysia (MY)
Openalex Percentile: Top 90%
Robot Manipulation and Learning
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