Yiming Man
Papers
1
Total Citations
33
H-Index
1
About
Yiming Man is a robotics researcher whose work focuses on intelligent mobile robot navigation and obstacle avoidance, particularly in complex, dynamic environments. His most significant contribution is the development of the **VPH+ (Enhanced Vector Polar Histogram) method**, introduced in his 2007 paper of the same name. This algorithm improves upon traditional vector polar histogram approaches by grouping isolated obstacle points detected by laser radar into coherent obstacle blocks. This innovation allows a mobile robot to better predict and navigate around obstacles, leading to more efficient and safer path planning in cluttered settings. The VPH+ method has become a foundational reference in the field of autonomous navigation, accumulating **33 citations** and influencing subsequent research on real-time obstacle avoidance for wheeled robots. Man’s work is notable for bridging theoretical sensor data processing with practical robotic control, offering a robust solution for robots operating in unpredictable environments. His research remains a key touchpoint for engineers and students developing autonomous systems that require reliable, low-latency collision avoidance.
Research Focus
Key Achievements
Top Papers
- 1