Junfei Li’s Academic Pages

Junfei Li’s Academic Pages

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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

  • 2024/12: My paper “A Novel Knowledge-Based Genetic Algorithm for Robot Path Planning in Complex Environments” was accepted by IEEE Transactions on Evolutionary Computation.
  • 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.