Assoc. Prof. Dr. Chunxu Li, Swansea University, United Kingdom
Dr. Chunxu Li is a Senior Lecturer in Mechanical Engineering at Swansea University, with a robust academic background and extensive teaching experience both in Chinese and British universities. With a Ph.D. in Electronic and Electrical Engineering from Swansea University and a postgraduate degree from the same institution, Dr. Li has showcased his expertise by leading modules such as CAD/CAM, Computer Vision, and Artificial Intelligence. His research interests span across Human-robot Interaction, Cybernetics, Machine Learning, Computer Vision, and Smart Materials for Soft Robots. With over 40 academic papers published and numerous accolades, including Best Student Paper Awards, Dr. Li is a recognized authority in his field. He actively supervises PhD and research master students, focusing on intuitive human-robot interaction systems and deep reinforcement learning applications. Dr. Li is also an Associate Fellow of the Higher Education Academy and a member of IEEE, demonstrating his commitment to academic excellence and innovation.
Professional Profile:
Scopus
Orcid
Google Scholar
🎓 Education:
- PhD in Electronic and Electrical Engineering, Swansea University, 2016-2019
- MSc in School of Engineering, Swansea University, 2014-2016
- Bachelor’s degree in School of Engineering, Qingdao University of Science and Technology, 2010-2014
🔍 Research Topic:
Dr. Chunxu Li completed his PhD at Swansea University, focusing on areas such as human-robot interaction, cybernetics, machine learning, computer vision, and smart materials for soft robots. He has over 10 years of programming experience in languages such as Cpp, MATLAB, Python, Java, and ROS. His research has been recognized with awards and nominations, including the Best Student Paper Award at IEEE international conferences.
👨🏫 Teaching & Supervision:
Dr. Li has extensive teaching experience in both Chinese and British universities, covering modules such as CAD/CAM, computer vision, artificial vision systems, deep learning, and software engineering. He supervises PhD and research master students, focusing on topics related to AI and robotics.
Publication Top Notes:
- A Fault-Tolerant Method for Motion Planning of Industrial Redundant Manipulator
- Authors: Z Li, C Li, S Li, X Cao
- Published in: IEEE Transactions on Industrial Informatics
- Year: 2019
- Cited by: 97
- Novel joint-drift-free scheme at acceleration level for robotic redundancy resolution with tracking error theoretically eliminated
- Authors: L Jin, Z Xie, M Liu, K Chen, C Li, C Yang
- Published in: IEEE/ASME Transactions on Mechatronics
- Year: 2020
- Cited by: 53
- An augmented reality based human-robot interaction interface using Kalman filter sensor fusion
- Authors: C Li, A Fahmy, J Sienz
- Published in: Sensors
- Year: 2019
- Cited by: 39
- Motion planning of redundant manipulator with variable joint velocity limit based on beetle antennae search algorithm
- Authors: Y Cheng, C Li, S Li, Z Li
- Published in: IEEE Access
- Year: 2020
- Cited by: 33
- Teleoperation control of Baxter robot using Kalman filter-based sensor fusion
- Authors: C Li, C Yang, J Wan, ASK Annamalai, A Cangelosi
- Published in: Systems Science & Control Engineering
- Year: 2017
- Cited by: 33