Chongfeng Wei

Northumbria University, Queen's University Belfast

Papers

2

Total Citations

26

H-Index

2

About

Chongfeng Wei is a researcher working at the intersection of autonomous systems, human-robot interaction, and advanced robotics design. His work addresses some of the most pressing challenges in modern autonomous vehicle development, particularly the complex dynamics between self-driving cars and human road users. His most notable contribution, "Human-centric Autonomous Driving in an AV-Pedestrian Interactive Environment Using SVO" (2021), has garnered 23 citations and tackles the critical "freezing robot problem" — a significant limitation in current motion planning algorithms where autonomous vehicles overly conservative behavior renders them ineffective in real-world traffic scenarios. By incorporating Social Value Orientation (SVO), Wei advances a more nuanced, human-centric approach to AV decision-making that accounts for the unpredictable nature of pedestrians and other road users. Beyond autonomous vehicles, Wei demonstrates impressive breadth through his work in parallel robotics, contributing to the design and prototyping of a novel two-limb 3R1T parallel robot with Remote Centre of Motion capabilities, reflecting expertise in mechanical design and kinematic analysis. His research portfolio positions him as a versatile contributor to both intelligent transportation systems and cutting-edge robotic engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Human-centric Autonomous Driving in an AV-Pedestrian Interactive Environment Using SVO
23 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Northumbria University, Queen's University Belfast

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago