Chuanwei Wang
Papers
12
Total Citations
75
H-Index
6
About
Chuanwei Wang is a leading researcher in robotics for extreme environments, with a primary focus on autonomous navigation, state estimation, and intelligent control for underground mining and rescue operations. His most impactful work addresses the critical challenge of robust simultaneous localization and mapping (SLAM) in perceptually degraded scenes, such as coal mine roadways and tunnels, where conventional sensors fail. Wang’s tightly coupled LiDAR-inertial SLAM system, cited 14 times, enables six degrees of freedom state estimation in these harsh conditions, significantly advancing the reliability of robotic perception. He has also made substantial contributions to the steering and trajectory control of tracked robots, developing novel strategies to overcome skidding and slipping—common issues that hinder precise motion in unstructured environments. His research extends to electromagnetic wave attenuation for emergency communication in post-disaster scenarios and obstacle-avoidance trajectory planning for drilling and anchoring robots, directly supporting the automation of coal mine tunneling and support operations. With over 60 citations across his top ten papers, Wang’s work is pivotal in bridging the gap between theoretical robotics and practical deployment in hazardous, confined spaces, ultimately enhancing safety and efficiency in the mining industry.
Research Focus
Key Achievements
Top Papers
- 1A Tightly Coupled LiDAR-Inertial SLAM for Perceptually Degraded Scenes14 citations · 2022
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