Minfeng Cen
Papers
1
Total Citations
6
H-Index
1
About
Minfeng Cen is a robotics researcher whose work focuses on enabling autonomous mobile robots to navigate safely and interact naturally with humans in dynamic environments. His key research areas include real-time obstacle avoidance, person following, and human-robot interaction. Cen’s most cited paper, “Real-time Obstacle Avoidance and Person Following Based on Adaptive Window Approach” (2019), presents a laser-based tracking and following system that allows a robot to safely follow a person while dynamically avoiding obstacles. This work addresses a critical challenge in service robotics: the need for robots to move fluidly alongside humans without collision. By integrating adaptive window techniques with people tracking, Cen’s approach balances speed, safety, and responsiveness. Though his citation count is still growing—with 6 citations to date—his contribution is notable for its practical application in real-world human-robot collaboration. His research lays important groundwork for assistive robots in healthcare, logistics, and domestic settings, where close, safe human following is essential.
Research Focus
Key Achievements
Top Papers
- 1