Junfei Li
Postdoctoral Research Fellow
School of Engineering
University of Guelph
50 Stone Road East
Guelph, Ontario, N1G 2W1
Canada
email:jli64@uoguelph.ca
Phone: (519) 760-6824
About Me
Junfei Li received the B.Eng. degree in communication engineering from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2017 and the Ph.D. degree in Engineering Systems & Computing under the supervision of Prof. Simon X. Yang from the University of Guelph, Ontario, Canada in 2023. During my Ph.D. program, I was appointed as a Graduate Research Assistant for the NSERC Discover research project in the Advanced Robotics and Intelligent Systems (ARIS) Laboratory. Since Sept. 18, 2023, I have been with the School of Engineering at the University of Guelph as a Postdoctoral Scholar. I am currently doing independent research with Dr. Sheng Yang in the Design Innovation and Intelligent Manufacturing (DIIM) Laboratory.
Research Interests
- Biologically Inspired Algorithms:
Biologically inspired neural networks and motion planning
Fish-inspired self-adaptive collective behavior
- Robotics:
Real-time dynamic motion planning and control of robotic systems
Mobile robotics robotic systems and applications
- Multi-robot Systems:
Feature learning-based rescue planning of robotic systems
Pursuit-evasion games of multi-robot systems
- Human-robot collaborations:
Human-robot collaborations via robotic and human digital twins
Mutual human-robot collaborations and their applications in Industry 4.0
News and Updates
- 2024/07: Our Special Issue, "Bio-Inspired Robotics and Applications," has been set up. Please click the following link if you are interested in submitting your contribution:https://www.mdpi.com/journal/biomimetics/special_issues/HG85IWO063
- 2024/03: My paper “A Novel Feature Learning-based Bio-inspired Neural Network for Real-time Collision-free Rescue of Multi-Robot Systems” was accepted by IEEE Transactions on Industrial Electronics.
- 2024/01: My paper “A Novel Fish-inspired Self-adaptive Approach to Collective Escape of Swarm Robots Based on Neurodynamic Models” was accepted by the 2024 IEEE International Conference on Robotics and Automation (ICRA). See you in Yokohama!
- 2024/01: My paper “Intelligent Collective Escape of Swarm Robots Based on a Novel Fish-inspired Self-adaptive Approach with Neurodynamic Models” was accepted by IEEE Transactions on Industrial Electronics.