​​Work Unit:​​ School of Automation, Wuhan University of Technology
​​Academic Title/Position:​​ Ph.D./Professor
​​Discipline/Field:​​ Robotics, Automation, Pattern Recognition and Intelligent Systems
​​Email:​​ jingluo93@foxmail.com
​​Personal Website:​​ http://www.scholat.com/jingluo88

Jing Luo, Ph.D., is a Distinguished Professor and graduate supervisor. He is a member of the Youth Working Committee of the Chinese Association of Automation (CAA), a member of the Embodied Intelligence Professional Committee, a member of the Chinese Association for Artificial Intelligence (CAAI), and an IEEE Member. He has been recognized as an Outstanding Instructor in the China Robotics and Artificial Intelligence Competition.

Dr. Luo obtained his Ph.D. in 2020 through a joint training program between South China University of Technology and Imperial College London. He has studied and worked at the French LIRMM Institute, Imperial College London, and the University of Sussex. His research focuses on teleoperation robots, collaborative robots, wearable robots, hybrid robots, soft robots, human-robot collaboration, electronic skin, artificial intelligence, and applications. He has received multiple provincial and ministerial-level scientific research awards and IEEE conference best paper awards/nominations (as corresponding author).

In recent years, He has led projects funded by the National Natural Science Foundation of China (NSFC), the Natural Science Foundations of Zhejiang, Hubei, Chongqing, and Hunan, key laboratory funds at the provincial and ministerial levels, and industry collaborations. He has also participated in several NSFC projects. Dr. Luo has published over 70 papers in high-impact international journals and conferences, including IEEE Transactions and IEEE RAL, authored two English monographs, and translated one book. He has been invited to serve as an editor or guest editor for academic journals such as IEEE Transactions on Automation Science and Engineering, IEEE Systems, Man, and Cybernetics Magazine, Micromachines, Frontiers in Neurorobotics, and Journal of Intelligent Systems, among others. He has also chaired program committees and sessions for international conferences and serves as a reviewer for journals including Nature Communications, IJRR, IEEE TRO, TMECH, TCYBER, TASE, TII, TIE, and TCDS.

Dr. Luo has guided students in national innovation projects, academic competitions, and research activities, resulting in multiple publications in Chinese core/EI-indexed journals and awards (including provincial and national prizes, such as first-place awards) in competitions like the China Robotics and Artificial Intelligence Competition and the China Undergraduate Computer Design Contest.

His research primarily focuses on teleoperation robots, collaborative robots, wearable robots, hybrid robots, human-robot collaboration, and artificial intelligence applications. His research group is equipped with motion capture systems, haptic devices, collaborative robots, exoskeleton robots, mobile robots, and various sensors (force/tactile, vision, electromyography, IMU, etc.). He welcomes students with backgrounds in automation, robotics, control, artificial intelligence, mechatronics, electronics, or computer science—particularly those with strong mathematical/English foundations, programming skills (C/C++/Python/MATLAB, ROS), and a passion for academic research—to join team and explore innovative research topics together.

​​National Natural Science Foundation of China (NSFC):​​ Research on Collaborative Control Methods Based on Intention Perception in Human-Supernumerary Limb Co-Working (PI).
​​Zhejiang Provincial Natural Science Foundation (Key Project):​​ Research on Robot Operation Mechanisms and Skill Optimization Methods Integrating Heterogeneous Multimodal Information (Co-PI).
​​Hubei Provincial Natural Science Foundation:​​ Research on Operator-in-the-Loop Interactive Control Methods for Non-Standard Casting Fine Operations (PI).
​​Chongqing Municipal Natural Science Foundation:​​ Research on Human-Robot Fusion Collaborative Control Methods for Flexible Tasks (PI).
​​Hunan Provincial Natural Science Foundation:​​ Research on Impedance Control and Task Learning for Teleoperation Robots (PI).
​​National Natural Science Foundation of China (NSFC):​​ Research on Cooperative Mechanisms and Control Strategies for Human-Robot Collaborative Robots in Smart Production Lines (Co-I).

Luo, J., Zhou, X., et al. (2025). A Human-Robot Collaboration Control Framework for Supernumerary Robotic Limbs. Journal of Field Robotics.
Luo, J., Liu, S., Si, W., et al. (2025). Enhancing Human-Robot Collaboration: Supernumerary Robotic Limbs for Object Balance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(2), 1334–1347.
Luo, J., Zhang, C., Zeng, C., et al. (2025). An Impedance Recognition Framework Based on Electromyogram for Physical Human-Robot Interaction. IEEE Transactions on Cognitive and Developmental Systems, 17(1), 205–218.
Luo, J., Zhang, C., Si, W., et al. (2025). A Physical Human-Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control. IEEE Transactions on Automation Science and Engineering, 22, 5072–5083.
Luo, J., Huang, D., Li, Y., & Yang, C. (2022). Trajectory Online Adaptation Based on Human Motion Prediction for Teleoperation. IEEE Transactions on Automation Science and Engineering, 19(4), 3184–3191.
Zhou, Z., Zheng, D., Chen, Y., Luo, J., Wang, Y., Huang, P., & Yang, C. (2025). Integrating with Multimodal Information for Enhancing Robotic Grasping with Vision-Language Models. IEEE Transactions on Automation Science and Engineering, 1–15.
Zhang, C., Liu, S., Zeng, C., Jiang, Y., & Luo, J. (2024). A Robot Humanoid Control Framework through Human Arm Active Endpoint Stiffness and Direction Adaptive Compensation. IEEE Robotics and Automation Letters, 9(9), 7557–7564.
Luo, J., Lin, Z., Li, Y., & Yang, C. (2020). A Teleoperation Framework for Mobile Robots Based on Shared Control. IEEE Robotics and Automation Letters, 5(2), 377–384.
Luo, J., Liu, W., Qi, W., Hu, J., Chen, J., & Yang, C. (2023). A Vision-Based Virtual Fixture with Robot Learning for Teleoperation. Robotics and Autonomous Systems, 164, 104414.
Luo, J., Peng, D., Liu, C., Tang, B., Pang, M., & Xiang, K. (2023). An Improved Combined Framework of Force Measurement with Friction Model for Harmonic Gear. IEEE Sensors Journal, 23(9), 9943–9951.

Luo, J. (2024). Human-Robot Interaction Control for Supernumerary Robotic Limbs. Wuhan University of Technology Press.
Yang, C., Luo, J., & Wang, N. (2023). Human-in-the-Loop Learning and Control for Robot Teleoperation. Elsevier.
Yang, C., & Luo, J. (2020). Principles and Design of Bionic Robots: Kinematics, Neural Mechanics, and Motion Planning. Tsinghua University Press.

​​Torque Estimation Method, Device, and Equipment for Series Viscoelastic Actuators​​ (Chinese Patent No. ZL202210973509.9, 2025).
​​Multimodal Information Fusion-Based Supernumerary Limb Control Method, System, and Electronic Device​​ (Chinese Patent No. CN202210928307.2, 2022).
​​Deep Learning-Based Flexible Object Supernumerary Limb Operation Method and System​​ (Chinese Patent No. CN202310709098.7, 2023).
​​Supernumerary Limb Device and Control Method​​ (Chinese Patent No. CN202310160239-4, 2023).
​​Force-Sensing Communication Software System for Supernumerary Limb Robots Based on RS485 Protocol​​ (Software Copyright No. 2023SR1439344, 2023).
​​Upper Computer System for Fin-Ray Flexible Manipulator​​ (Software Copyright No. 2024SR0848602, 2024).
​​Virtual Interaction-Based Robotic Arm Teleoperation System​​ (Software Copyright No. 2025SR0098366, 2024).

​​National Invention and Entrepreneurship Achievement Award​​ (3rd contributor, 2024) for Development and Application of Multi-Axis Precision Laser Cutting Equipment for Multi-Scale Tubular Materials.
​​2024 IEEE EECR Best Paper Award​​.
​​2022 IEEE ARM Best Conference Paper Finalist​​.

​​Lead Guest Editor​​, IEEE Transactions on Automation Science and Engineering (2025–2026).
​​Youth Editorial Board Member​​, Journal of Intelligent Systems (2025–2026).
​​Lead Guest Editor​​, IEEE Systems, Man, and Cybernetics Magazine (2022–2023).
​​Lead Guest Editor​​, Micromachines (2022–2024).
​​Lead Guest Editor​​, Frontiers in Neurorobotics (2023–2024).
​​Program Chair​​, 2023 EECR Conference.
​​Member​​, Youth Working Committee and Embodied Intelligence Committee, Chinese Association of Automation (2024–2026).