Dr Chunxu Li

Senior Lecturer in Mechanical Engineering

Mechanical Engineering

chunxu.li@swansea.ac.uk

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-7851-0260

Google Scholar

ResearcherID

About

Dr Chunxu Li received his PhD degree from Swansea University in 2019, and was appointed as a lecturer at the School of Engineering, Computing and Mathematics, University of Plymouth in January 2020. He has published over 40 academic papers, 33 of which are SCI/EI indexed, and won the Best Student Paper Award and was shortlisted for the Best Paper Award in IEEE international conferences. He has expertise in ROS, JAVA, C++, Python and MATLAB with over 8 years working experience on multiple robot platforms, e.g., KUKA iiwa, Baxter, NAO, Universal, etc. Dr Li is an Associate Fellow of the Higher Education Academy and a member of IEEE (Institute of Electrical and Electronics Engineers). As the PI and the main co-I, he successfully granted a number of projects and fundings.

Areas Of Expertise

Motion planning for robot manipulation and locomotion
Human-robot interaction
Cybernetics
Machine vision
Machine learning
Advanced materials for soft robots

Publications

Research Highlights

Chen, L., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). GestureMoRo: an algorithm for autonomous mobile robot teleoperation based on gesture recognition. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-54488-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66028
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion. Sensors, 19(20), 4586
https://doi.org/10.3390/s19204586, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52479
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). Development of a Neural Network-Based Control System for the DLR-HIT II Robot Hand Using Leap Motion. IEEE Access, 7, 136914-136923.
https://doi.org/10.1109/ACCESS.2019.2942648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52484
Li, Z., Li, C., Li, S., & Cao, X. (2020). A Fault-Tolerant Method for Motion Planning of Industrial Redundant Manipulator. IEEE Transactions on Industrial Informatics, 16(12), 7469-7478.
https://doi.org/10.1109/tii.2019.2957186, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52973
Li, C., Fahmy Abdo, A., Li, S., & Sienz, J. (2020). An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive. Frontiers in Neurorobotics, 14
https://doi.org/10.3389/fnbot.2020.00030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54859
Shao, Y., Fahmy Abdo, A., Li, M., Li, C., Zhao, W., & Sienz, J. (2021). Study on Magnetic Control Systems of Micro-Robots. Frontiers in Neuroscience, 15
https://doi.org/10.3389/fnins.2021.736730, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58108
Li, C., Li, Z., Li, S., Zhu, S., & Samani, H. (2022). A sparsity-based method for fault-tolerant manipulation of a redundant robot. Robotica, 40(10), 1-19.
https://doi.org/10.1017/S0263574722000285, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59462
Zhu, S., Stuttaford-Fowler, A., Fahmy Abdo, A., Li, C., & Sienz, J. (2021). Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation. In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)IEEE.
https://doi.org/10.1109/isrimt53730.2021.9596972, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62572
Zhang, X., Wang, Y., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). Innovative multi-dimensional learning algorithm and experiment design for human-robot cooperation. Applied Mathematical Modelling, 127, 730-751.
https://doi.org/10.1016/j.apm.2024.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65989
Mei, D., Yu, X., Tang, G., Liu, S., Zhao, X., Zhao, C., Li, C., & Wang, Y. (2023). Blue Hand: A Novel Type of Soft Anthropomorphic Hand Based on Pneumatic Series-Parallel Mechanism. IEEE Robotics and Automation Letters, 8(11), 7615-7622.
https://doi.org/10.1109/lra.2023.3320906, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65990

All Research

Journal Articles

Yang, C., Samani, H., TANG, Z., & Li, C. (2024). Implementation of extended kalman filter for localization of ambulance robot. International Journal of Intelligent Robotics and Applications, 0
https://doi.org/10.1007/s41315-024-00352-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67360
Chen, L., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). GestureMoRo: an algorithm for autonomous mobile robot teleoperation based on gesture recognition. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-54488-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66028
Zhang, X., Wang, Y., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). Innovative multi-dimensional learning algorithm and experiment design for human-robot cooperation. Applied Mathematical Modelling, 127, 730-751.
https://doi.org/10.1016/j.apm.2024.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65989
Mei, D., Yu, X., Tang, G., Liu, S., Zhao, X., Zhao, C., Li, C., & Wang, Y. (2023). Blue Hand: A Novel Type of Soft Anthropomorphic Hand Based on Pneumatic Series-Parallel Mechanism. IEEE Robotics and Automation Letters, 8(11), 7615-7622.
https://doi.org/10.1109/lra.2023.3320906, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65990
Sun, Y., Cao, J., & Li, C. (2023). A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems. Journal of the Operational Research Society, 74(6), 1443-1461.
https://doi.org/10.1080/01605682.2022.2096501, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65992
Zhao, Y., Liu, M., Xu, X., Li, C., Cheng, J., Wang, Z., Wang, D., Qu, W., & Li, S. (2022). Photo-Fenton Degradation Process of Styrene in Nitrogen-Sealed Storage Tank. Toxics, 11(1), 26
https://doi.org/10.3390/toxics11010026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66025
Liu, Z., Li, C., Wang, L., & Li, S. (2022). Design of a small material handling robot gripping and storage system. Journal of Physics: Conference Series, 2402(1), 012034
https://doi.org/10.1088/1742-6596/2402/1/012034, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65993
Dong, W., Li, C., Xu, X., & Li, S. (2022). Pallet Stamping Die Design. Journal of Physics: Conference Series, 2402(1), 012015
https://doi.org/10.1088/1742-6596/2402/1/012015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65994
Mei, D., Zhao, X., Tang, G., Wang, J., Zhao, C., Li, C., & Wang, Y. (2022). A Single-Joint Worm-like Robot Inspired by Geomagnetic Navigation. Machines, 10(11), 1040
https://doi.org/10.3390/machines10111040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66024
Li, C., Bulman, H., Whitley, T., & Li, S. (2022). Ultra-Wideband Communication and Sensor Fusion Platform for the Purpose of Multi-Perspective Localization. Sensors, 22(18), 6880
https://doi.org/10.3390/s22186880, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65995
Li, C., Chen, X., Ma, X., Sun, H., & Wang, B. (2022). Skill Acquisition and Controller Design of Desktop Robot Manipulator Based on Audio–Visual Information Fusion. Machines, 10(9), 772
https://doi.org/10.3390/machines10090772, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66026
Sun, Z., Tang, S., Zhou, Y., Yu, J., & Li, C. (2022). A GNN for repetitive motion generation of four-wheel omnidirectional mobile manipulator with nonconvex bound constraints. Information Sciences, 607, 537-552.
https://doi.org/10.1016/j.ins.2022.06.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65996
Li, W., Liu, K., Li, C., Sun, Z., Liu, S., & Gu, J. (2022). Development and Evaluation of a Wearable Lower Limb Rehabilitation Robot. Journal of Bionic Engineering, 19(3), 688-699.
https://doi.org/10.1007/s42235-022-00172-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65997
Wang, X., Ma, X., Li, X., Ma, X., & Li, C. (2022). Target-biased informed trees: sampling-based method for optimal motion planning in complex environments. Journal of Computational Design and Engineering, 9(2), 755-771.
https://doi.org/10.1093/jcde/qwac025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65998
Sun, Z., Zhao, L., Liu, K., Jin, L., Yu, J., & Li, C. (2022). An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network. Neural Computing and Applications, 34(8), 6053-6066.
https://doi.org/10.1007/s00521-021-06745-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65999
Rogers, J., Culverhouse, P., Wickenden, B., & Li, C. (2022). Development of a bionic interactive interface for Owl robot using stereo vision algorithms. Advanced Control for Applications, 4(1)
https://doi.org/10.1002/adc2.54, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66012
Li, C., Li, Z., Li, S., Zhu, S., & Samani, H. (2022). A sparsity-based method for fault-tolerant manipulation of a redundant robot. Robotica, 40(10), 1-19.
https://doi.org/10.1017/S0263574722000285, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59462
Yang, C., Samani, H., Ji, N., Li, C., Chen, D., & Qi, M. (2022). Deep Learning Based Real-Time Facial Mask Detection and Crowd Monitoring. Computing and Informatics, 40(6), 1263-1294.
https://doi.org/10.31577/cai_2021_6_1263, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66000
Samani, H., Yang, C., Li, C., Chung, C., & Li, S. (2022). Anomaly detection with vision-based deep learning for epidemic prevention and control. Journal of Computational Design and Engineering, 9(1), 187-200.
https://doi.org/10.1093/jcde/qwab075, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66001
Li, W., Liu, K., Sun, Z., Li, C., Chai, Y., & Gu, J. (2022). A neural network-based model for lower limb continuous estimation against the disturbance of uncertainty. Biomedical Signal Processing and Control, 71, 103115
https://doi.org/10.1016/j.bspc.2021.103115, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66002
Li, M., Zhu, S., Li, C., & Zhao, W. (2021). Target unbiased meta-learning for graph classification. Journal of Computational Design and Engineering, 8(5), 1355-1366.
https://doi.org/10.1093/jcde/qwab050, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66004
Shao, Y., Fahmy Abdo, A., Li, M., Li, C., Zhao, W., & Sienz, J. (2021). Study on Magnetic Control Systems of Micro-Robots. Frontiers in Neuroscience, 15
https://doi.org/10.3389/fnins.2021.736730, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58108
Li, C., Zhu, S., Sun, Z., & Rogers, J. (2021). BAS Optimized ELM for KUKA iiwa Robot Learning. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(6), 1987-1991.
https://doi.org/10.1109/tcsii.2020.3034771, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66011
Chai, Y., Liu, K., Li, C., Sun, Z., Jin, L., & Shi, T. (2021). A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals. Biomedical Signal Processing and Control, 67, 102416
https://doi.org/10.1016/j.bspc.2021.102416, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66008
Li, Z., Li, C., Li, S., & Cao, X. (2020). A Fault-Tolerant Method for Motion Planning of Industrial Redundant Manipulator. IEEE Transactions on Industrial Informatics, 16(12), 7469-7478.
https://doi.org/10.1109/tii.2019.2957186, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52973
Li, C., Fahmy Abdo, A., Li, S., & Sienz, J. (2020). An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive. Frontiers in Neurorobotics, 14
https://doi.org/10.3389/fnbot.2020.00030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54859
Jin, L., Xie, Z., Liu, M., Ke, C., Li, C., & Yang, C. (2020). Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated. IEEE/ASME Transactions on Mechatronics, 26(1), 1-1.
https://doi.org/10.1109/tmech.2020.3001624, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66013
Wang, D., Meng, W., Lei, Y., Li, C., Cheng, J., Qu, W., Wang, G., Zhang, M., & Li, S. (2020). The Novel Strategy for Increasing the Efficiency and Yield of the Bipolar Membrane Electrodialysis by the Double Conjugate Salts Stress. Polymers, 12(2), 343
https://doi.org/10.3390/polym12020343, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66027
Lee, S., Lei, Y., Wang, D., Li, C., Cheng, J., Wang, J., Meng, W., & Liu, M. (2019). The Study of Zeolitic Imidazolate Framework (ZIF-8) Doped Polyvinyl Alcohol/Starch/Methyl Cellulose Blend Film. Polymers, 11(12), 1986
https://doi.org/10.3390/polym11121986, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66014
Liu, M., Zhang, X., Wang, D., Cheng, J., Pang, X., Qu, W., Li, C., & Li, S. (2019). Facile Fabrication of Superhydrophobic Surface from Fluorinated POSS Acrylate Copolymer via One-Step Breath Figure Method and Its Anti-Corrosion Property. Polymers, 11(12), 1953
https://doi.org/10.3390/polym11121953, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66015
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion. Sensors, 19(20), 4586
https://doi.org/10.3390/s19204586, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52479
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). Development of a Neural Network-Based Control System for the DLR-HIT II Robot Hand Using Leap Motion. IEEE Access, 7, 136914-136923.
https://doi.org/10.1109/ACCESS.2019.2942648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52484
Li, C., Yang, C., Annamalai, A., Xu, Q., & Li, S. (2018). Development of writing task recombination technology based on DMP segmentation via verbal command for Baxter robot. Systems Science and Control Engineering, 6(1), 350-359.
https://doi.org/10.1080/21642583.2018.1509397, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66017
Li, C., Yang, C., Ju, Z., & Annamalai, A. (2018). An enhanced teaching interface for a robot using DMP and GMR. International Journal of Intelligent Robotics and Applications, 2(1), 110-121.
https://doi.org/10.1007/s41315-018-0046-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66016

Conference Contributions

Zhu, S., Li, C., Rogers, J., Gianni, M., & Howard, I. (2022). A Real-time Double Emulsion Droplets Detection System using Hough Circle Transform and Color Detection. In 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)IEEE.
https://doi.org/10.1109/m2vip49856.2021.9665023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66003
Zhu, S., Stuttaford-Fowler, A., Fahmy Abdo, A., Li, C., & Sienz, J. (2021). Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation. In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)IEEE.
https://doi.org/10.1109/isrimt53730.2021.9596972, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62572
Zhao, L., Liu, K., Li, C., Jin, L., & Sun, Z. (2021). Form-finding of Tensegrity Structures Utilizing a Nonlinear Fletcher-Reeves Conjugate Gradient Method. In 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)IEEE.
https://doi.org/10.1109/rcar52367.2021.9517591, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66005
Zhou, Y., Liu, K., Li, C., Wang, G., Liu, Y., & Sun, Z. (2021). A Gradient Neural Network for online Solving the Time-varying Inverse Kinematics Problem of Four-wheel Mobile Robotic Arm. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)IEEE.
https://doi.org/10.1109/ddcls52934.2021.9455633, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66006
Zhang, X., Liu, K., Li, C., Yi, J., Duan, X., & Sun, Z. (2021). LS-SVM Combined with ZNN for Predicting the Continuous Motion Joint Angle of Lower Limb. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)IEEE.
https://doi.org/10.1109/ddcls52934.2021.9455639, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66007
Liu, Y., Li, C., Teng, Z., Liu, K., Wang, G., & Sun, Z. (2021). Intention Recognition of Elbow Joint based on sEMG Using Adaptive Fuzzy Neural Network. In 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)IEEE.
https://doi.org/10.1109/icmcce51767.2020.00240, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66010
Li, C., Yang, C., Wan, J., Annamalai, A., & Cangelosi, A. (2017). Neural learning and Kalman filtering enhanced teaching by demonstration for a Baxter robot. In 2017 23rd International Conference on Automation and Computing (ICAC)IEEE.
https://doi.org/10.23919/iconac.2017.8081985, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66018
Raju, R., Yang, C., Li, C., & Cangelosi, A. (2016). A video game design based on Emotiv Neuroheadset. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)IEEE.
https://doi.org/10.1109/icarm.2016.7606887, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66020
Li, C., Yang, C., Liang, P., Cangelosi, A., & Wan, J. (2016). Development of Kinect based teleoperation of Nao robot. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)IEEE.
https://doi.org/10.1109/icarm.2016.7606908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66021
Chen, J., Glover, M., Li, C., & Yang, C. (2016). Development of a user experience enhanced teleoperation approach. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)IEEE.
https://doi.org/10.1109/icarm.2016.7606914, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66023
Smith, A., Yang, C., Li, C., Ma, H., & Zhao, L. (2016). Development of a dynamics model for the Baxter robot. In 2016 IEEE International Conference on Mechatronics and AutomationIEEE.
https://doi.org/10.1109/icma.2016.7558740, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66022

Supervision

Untitled (current)

PhD

Other supervisor: Dr Ashraf Fahmy Abdo
Development and Implementation of Intuitive Human-Machine Interaction System. (current)

PhD

Other supervisor: Prof Cinzia Giannetti

Taught Modules

EG-2003 Electromechanical Control

The aim of the module is to develop understanding of control algorithms for interconnected electrical and mechanical components. Students will explore sensor and actuator selection, system modelling, and the implementation of tailored control strategies. This interdisciplinary approach equips students with skills applicable across a range of fields from robotics, manufacturing and automotive engineering.
EGH307 Systems Engineering

The module introduces systems to engineering students, and covers aspects of systems, system engineering, fluid power systems, artificial neural networks systems, electrical and electronic systems and control systems in relation Engineering applications, design and manufacture.

Key Grants and Projects

Intergenerational co-creation of novel technologies to reconnect digitally excluded people with community & cultural landscapes in coastal economies 2022

, £1,013,064

Dr Chunxu Li

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Conference Contributions

Supervision

Untitled (current)

Development and Implementation of Intuitive Human-Machine Interaction System. (current)

Taught Modules

EG-2003 Electromechanical Control

EGH307 Systems Engineering

Key Grants and Projects

Intergenerational co-creation of novel technologies to reconnect digitally excluded people with community & cultural landscapes in coastal economies 2022