Jinhua University of Vocational Technology - China
Author Profile
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Summary
Ziyu Liao is an emerging researcher in the fields of wearable robotics and human-robot interaction, with a strong academic foundation built through interdisciplinary education and specialized research. from his early exploration of neural network-based control systems to advanced doctoral research on supernumerary robotic limbs (srls), liao has demonstrated a consistent focus on enhancing human-machine cooperation. his professional journey spans academic positions and industry roles, where he applied his expertise to both rehabilitation devices and complex industrial automation systems, such as battery production machinery—an area closely tied to control strategies also used in power electronics. through national and regional research projects, he has contributed to innovative solutions for gesture-based control, flexible robotic structures, and safe human-robot interaction protocols.
Early academic pursuits
Ziyu Liao began his academic journey with a bachelor’s degree from shandong university, where he uniquely combined arts and technology by pursuing a double major, including korean language. this diverse academic background laid a foundation for cross-disciplinary thinking, an approach that later influenced his research into wearable robotics and human-robot interaction. his early exploration into robotics control was solidified during his master’s program at yanshan university, where his thesis focused on developing a surface electromyography (semg) control interface for robots utilizing neural networks — an area subtly connected with signal processing techniques also applied in power electronics. further advancing his expertise, liao pursued a doctorate at nanjing university of aeronautics & astronautics, specializing in the ergonomic design and control of supernumerary robotic limbs (srls), setting the stage for significant contributions in assistive robotic technologies.
Professional endeavors
Professionally, Liao has demonstrated versatility both in academia and industry. his role as a mechanical r&d engineer at wuxi lead intelligent equipment co., ltd. involved the structural design of fully automated lithium-ion battery winding machines, a field reliant on precision motion control systems familiar in power electronics applications. subsequently, his visiting scholarship at japan advanced institute of science and technology allowed him to engage in innovative research on eeg-based image reconstruction, bridging neural signal processing and intelligent systems design. currently, Supernumerary Robotic Limbs as a lecturer at jinhua university of vocational technology, he continues to educate and inspire the next generation of engineers in the college of intelligent manufacturing.
Contributions and research focus
Liao's core research contributions revolve around the development of reconfigurable srls tailored for challenging industrial environments such as aircraft cabin maintenance. his work includes designing srl structures, proposing semg-driven reconfiguration switching methods, and formulating safety control strategies integrating imu data — techniques that intersect with control principles also seen in power electronics systems for adaptive machinery. his involvement in national and regional projects highlights his role in advancing fiber-reinforced flexible actuators and gesture recognition systems for human-robot cooperative control, enhancing the functionality and safety of wearable robotics. Supernumerary Robotic Limbs notably, his research on semg-based limb mapping and rehabilitation robotics underscores a sustained commitment to improving human-robot interaction and augmenting human capabilities.
Impact and influence
Liao's contributions have potential societal and industrial impact, especially in sectors requiring precision and safety, such as aerospace maintenance, healthcare, and advanced manufacturing. his application of semg signal processing and neural network modeling informs not only robotics but also adjacent fields like power electronics, where sensor-based adaptive control is crucial. Supernumerary Robotic Limbs by addressing ergonomic challenges and enhancing the cooperative behavior of srls, liao's research supports safer, more efficient human-machine collaboration, influencing both academic frameworks and practical technologies.
Academic cites
Through active participation in projects funded by the national natural science foundation of china and other scientific bodies, liao has contributed to several peer-reviewed publications and technical reports in wearable robotics and human-robot interaction. these works are frequently cited in the domains of intelligent control, rehabilitation technology, and emerging power electronics applications Supernumerary Robotic Limbs where signal processing and actuator control intersect. his innovative gesture recognition and control algorithms for srls continue to garner attention from scholars and engineers developing next-generation robotic and electronic systems.
Legacy and future contributions highlight
Looking ahead, liao is poised to further advance the integration of intelligent control systems into wearable robotics, potentially influencing developments in power electronics where precise, energy-efficient actuator control remains critical. his vision includes expanding the ergonomic adaptability of robotic limbs, refining semg-driven control schemes, and exploring new materials and actuator designs that bridge flexibility with robustness. these contributions are likely to inspire future innovations in assistive robotics and industrial automation, Supernumerary Robotic Limbs leaving a lasting legacy in both robotics and power electronics-driven system design.
Notable Publications
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Title: A novel sEMG-based force interaction strategy of supernumerary robotic limbs
Authors: Wenjie Qu; Ziyu Liao; Tianzuo Chang; Yao Xiao; Qian Zheng; Liping Ding; Bai Chen
Journal: Journal of Mechanical Science and Technology
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Title: A novel human-robot interface based on low-cost sEMG device designed for the collaborative wearable robot
Authors: Ziyu Liao; Bai Chen; Qian Zheng; Wenjie Qu; Yao Xiao
Journal: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
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Title: A Development Control and HRI of Supernumerary Robotic Limbs Based on ROS
Authors: Qian Zheng; Ziyu Liao; Bai Chen; Tianzuo Chang; Zhicong Zhang; Hongtao Wu
Journal: Intelligent Robotics and Applications (Book Chapter)
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Title: Structural Design and Stiffness Characteristics of a Passive Variable Stiffness Joint
Authors: Keming Liu; Bai Chen; Ziyu Liao; Tianzuo Chang; Jiajun Xu; Zhendong Tu
Journal: Intelligent Robotics and Applications (Book Chapter)
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Title: Optimized Walking Assistance of the Soft Exoskeleton with Twisted String Actuators
Authors: Jiajun Xu; Kaizhen Huang; Tianyi Zhang; Ziyu Liao; Tianzuo Chang; Bai Chen; Youfu Li
Journal: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
Conclusion
Ziyu Liao’s research contributions are shaping the future of assistive and industrial robotics by addressing key challenges in ergonomic design, adaptability, and intelligent control. his interdisciplinary approach, blending neural signal processing with mechanical design and embedded control systems, finds resonance in modern power electronics-driven technologies that demand precision and adaptability. as wearable robotics continue to influence sectors like aerospace maintenance, healthcare, and smart manufacturing, liao's work stands to have lasting impact, paving the way for safer, more efficient human-robot collaboration. his future endeavors are expected to drive further innovation at the intersection of robotics, power electronics, and intelligent systems design.