Dr. Yonghao Xie | Bionic Eye, Swarm Intelligence and Control Theory | Best Researcher Award
Ph.D. Student at Shanghai University, China
Dr. Yonghao Xie is a dynamic and visionary researcher currently pursuing his Ph.D. in Intelligent Technology and Systems at Shanghai University. His research seamlessly combines robotics, bionic systems, and advanced control protocols to create impactful solutions in autonomous systems. Driven by curiosity and technical excellence, Dr. Xie has published in leading international journals and continues to contribute significantly to the field of intelligent robotics. His work embodies dedication, innovation, and a passion for solving complex engineering challenges.
👨🎓 Profile
🌟 Suitable for “Best Researcher Award”
Dr. Yonghao Xie is an innovative researcher dedicated to advancing intelligent technology and robotics. With a robust academic foundation and impactful publications, Dr. Xie has demonstrated exceptional creativity and problem-solving in developing robotic bionic eyes and multi-robot consensus systems. His pioneering work in distributed control and bio-inspired mechanisms makes him a strong candidate for the Best Researcher Award, highlighting his commitment to pushing the frontiers of intelligent systems and mechatronic engineering.
🎓 Education
Dr. Xie’s academic journey is rooted in mechanical and intelligent systems engineering. He earned his Bachelor of Science in Mechanical Design, Manufacturing, and Automation from Shanghai Ocean University in 2019, focusing on PTZ control systems for bionic eyes. He then completed his Master of Science in Mechatronic Engineering at Shanghai University in 2022, with a dissertation on robotic bionic eyes using artificial muscles. Currently, he is pursuing his Ph.D. at Shanghai University in Intelligent Technology and Systems, further advancing his research on multi-robot consensus and adaptive control.
💼 Experience
During his academic career, Dr. Xie has engaged extensively in research and development activities involving robotic bionic systems and intelligent multi-agent control. He collaborated with interdisciplinary teams to design novel mechanisms, such as a robotic eye inspired by human oculomotor laws, and contributed to cutting-edge studies on distributed control protocols. His practical experience includes designing flexible parallel drive systems, developing image self-inpainting networks for autonomous robots, and exploring human-like movement laws in robotics. These diverse experiences showcase his deep technical expertise and collaborative spirit.
🔬 Research Interest
Dr. Xie’s research interests focus on intelligent robotics, multi-robot consensus, bionic mechanisms, adaptive control, and bio-inspired engineering. He is particularly passionate about integrating artificial muscle actuation into robotic designs to replicate human-like movements and developing robust control protocols for multi-agent systems operating under complex network topologies. His work aims to bridge the gap between biological inspiration and practical robotic applications, contributing to the evolution of autonomous and intelligent robotic systems.
📚 Publications
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Xie, Y., Ma, X., Li, H., & Xie, S. (2025). Embedding prescribed-time adaptive control protocol unveiling distributed consensus in multirobot systems via directed topology. Science China Information Sciences, 68(2), 129201.
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Xie, Y., Liu, J., Li, H., Han, C., Xie, S., & Luo, J. (2021). Design and validation of robotic bionic eye with multiple flexible ropes parallel mechanism inspired by oculomotor law. Mechatronics, 80, 102686.
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Ma, X., Liu, J., Li, H., Xie, Y., Zhang, T., Wang, Z., … & Luo, J. (2023). Bidirectional formation-involved consensus for uncertain multi-Lagrange systems under directed signed topology networks. Nonlinear Dynamics, 111(13), 12197-12212.
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Yang, X., Li, H., Liu, J., Xie, Y., Pu, H., Xie, S., & Luo, J. (2022). A novel stereo image self-inpainting network for autonomous robots. Robotics and Autonomous Systems, 156, 104197.
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Li, H., Hou, K., Xie, Y., Liu, J., & Xie, S. (2025). Design of 3-DOF Bionic Eye Driven by Artificial Muscle Based on the Law of Human Eye Movement. Journal of Mechanisms and Robotics, 17(11), 111002.