NCU Team Develops Anti-Disturbance Robotic Arm, Enhancing Precision and Adaptability
National Central University researchers have developed a stable 'anti-disturbance' robotic arm using advanced control techniques, enhancing precision and adaptability for industrial use. This innovation addresses challenges like environmental uncertainty and external interference by employing a novel control strategy without relying on precise mathematical models.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 16:31
- 🔍 Collected: April 15, 2026 at 17:01 (30 min after Published)
- 🤖 AI Analyzed: April 19, 2026 at 11:47 (90h 45m after Collected)
Central News Agency (CNA) reporter Hsu Chih-wei, Taipei, April 15 (CNA) Associate Professor Wu Chun-wei of National Central University's (NCU) Department of Electrical Engineering, leading a team, has deeply integrated reinforcement learning, traditional control, and advanced control techniques to develop a highly stable "anti-disturbance" robotic arm, which can enhance the precision and adaptability of robotic arms.
NCU issued a press release today stating that with the rapid development of intelligent manufacturing and automation technologies, robotic arms have become indispensable equipment in modern industry and technology fields; however, existing robotic arms often face severe challenges in practical applications, such as environmental uncertainties, external disturbances, and high-precision control demands.
Wu Chun-wei, who has experience in TSMC's R&D department, said that the core concept of this research is "starting from theory and opening the black box." Unlike many robotic arm studies that only focus on the application end, the research team starts from basic theories to explore the fundamental principles and underlying logic of robotic arm operation.
To thoroughly master the technology, the research team insisted on not using commercially available demonstration robotic arms. Adhering to "starting from scratch," they personally designed and built the robotic arm and wrote its operating program. This led to the proposal of a precise control strategy that combines stability with high performance, achieving innovative breakthroughs in multiple aspects.
The control method proposed by the team does not heavily rely on precise mathematical models. Even under conditions of environmental uncertainty or system load variations, it can maintain good control effects, significantly improving the robotic arm's adaptability and stability.
Additionally, the team has proposed a novel disturbance observer design architecture, which solves the problem of traditional methods only being able to handle relatively simple interference issues. It can respond more quickly and accurately to sudden or changing interference situations, further enhancing control accuracy and system stability, while reducing reliance on complex sensing and computation.
Finally, by integrating an artificial intelligence framework, the system learns how to evaluate control effectiveness while simultaneously learning how to generate optimal control strategies. Using traditional control principles as an initial foundation, it greatly reduces the practical need for repeated parameter adjustments, making the system easier to design and its movements more stable more quickly. This lays an important research foundation for the future development of highly autonomous robots. (Editor: Chang Ya-ching) 1150415
Stand with facts, your every sponsorship is a force to protect the freedom of the press.
Download the CNA "One News" APP to get the latest news in real-time.
The text, images, and audio-visual content on this website may not be reproduced, publicly broadcast, or publicly transmitted and utilized without authorization.
NCU issued a press release today stating that with the rapid development of intelligent manufacturing and automation technologies, robotic arms have become indispensable equipment in modern industry and technology fields; however, existing robotic arms often face severe challenges in practical applications, such as environmental uncertainties, external disturbances, and high-precision control demands.
Wu Chun-wei, who has experience in TSMC's R&D department, said that the core concept of this research is "starting from theory and opening the black box." Unlike many robotic arm studies that only focus on the application end, the research team starts from basic theories to explore the fundamental principles and underlying logic of robotic arm operation.
To thoroughly master the technology, the research team insisted on not using commercially available demonstration robotic arms. Adhering to "starting from scratch," they personally designed and built the robotic arm and wrote its operating program. This led to the proposal of a precise control strategy that combines stability with high performance, achieving innovative breakthroughs in multiple aspects.
The control method proposed by the team does not heavily rely on precise mathematical models. Even under conditions of environmental uncertainty or system load variations, it can maintain good control effects, significantly improving the robotic arm's adaptability and stability.
Additionally, the team has proposed a novel disturbance observer design architecture, which solves the problem of traditional methods only being able to handle relatively simple interference issues. It can respond more quickly and accurately to sudden or changing interference situations, further enhancing control accuracy and system stability, while reducing reliance on complex sensing and computation.
Finally, by integrating an artificial intelligence framework, the system learns how to evaluate control effectiveness while simultaneously learning how to generate optimal control strategies. Using traditional control principles as an initial foundation, it greatly reduces the practical need for repeated parameter adjustments, making the system easier to design and its movements more stable more quickly. This lays an important research foundation for the future development of highly autonomous robots. (Editor: Chang Ya-ching) 1150415
Stand with facts, your every sponsorship is a force to protect the freedom of the press.
Download the CNA "One News" APP to get the latest news in real-time.
The text, images, and audio-visual content on this website may not be reproduced, publicly broadcast, or publicly transmitted and utilized without authorization.