Wenjie Lei
Papers
1
Total Citations
4
H-Index
1
About
Dr. Wenjie Lei is a robotics researcher whose work centers on advancing autonomous navigation and human-robot interaction, with a particular focus on safe, collision-free person-following systems. His most-cited paper, "An Autonomous Robot for Collision-Free Person Following through Model Predictive Control" (2023), addresses a critical challenge in human-robot integration: enabling robots to reliably track individuals through complex, dynamic environments. Lei’s key contribution lies in overcoming the limitations of traditional global-local planning approaches by developing a Model Predictive Control framework that seamlessly integrates obstacle avoidance with person-following behavior. This work, which has garnered 4 citations, represents a significant step toward making autonomous robots more practical for real-world applications such as assistive care, logistics, and service robotics. By tackling the persistent problem of robust tracking amidst moving obstacles, Dr. Lei’s research helps bridge the gap between laboratory prototypes and deployable autonomous systems, offering a foundation for safer and more responsive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1