Zheming Guan
Papers
1
Total Citations
7
H-Index
1
About
Zheming Guan is a robotics researcher whose work focuses on motion planning and collision avoidance for non-holonomic robotic systems. His most notable contribution, the 2019 paper "Generalized Reciprocal Collision Avoidance for Non-holonomic Robots," tackles the challenging problem of enabling multiple robots with constrained mobility—such as differential-drive vehicles—to navigate dynamic environments without collisions. Guan’s key insight was developing strategies to simultaneously adjust both linear and angular velocities, a critical advancement over prior methods that often ignored angular constraints. This work, which has garnered 7 citations, provides a foundational framework for reciprocal collision avoidance in real-world applications like autonomous warehouses and service robotics. By addressing the complexities of non-holonomic dynamics, Guan has helped bridge the gap between theoretical multi-agent navigation and practical robotic systems. His research continues to influence the design of safer, more efficient autonomous vehicles operating in crowded or unpredictable settings, making him a valuable contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Generalized Reciprocal Collision Avoidance for Non-holonomic Robots7 citations · 2019