Chengchen Zhuge
Papers
1
Total Citations
26
H-Index
1
About
Chengchen Zhuge is a researcher whose work lies at the intersection of robotics, autonomous navigation, and intelligent control systems. His most cited paper, “A Novel Dynamic Obstacle Avoidance Algorithm Based on Collision Time Histogram” (2017, 26 citations), addresses a critical challenge in the field of Unmanned Ground Vehicles (UGVs): safe navigation in uncertain, dynamic environments. By introducing the Collision Time Histogram (CTH) approach, Zhuge developed a method that allows robots to anticipate and avoid moving obstacles in real time, moving beyond static obstacle avoidance to handle the complexities of real-world motion. This contribution is particularly valuable for autonomous driving and mobile robotics, where split-second decisions can prevent collisions. Zhuge’s work demonstrates a strong focus on practical, implementable solutions that bridge theoretical path planning with real-world constraints. His research continues to influence the development of safer, more responsive autonomous systems, making him a notable contributor to the advancement of intelligent vehicle technology.
Research Focus
Key Achievements
Top Papers
- 1