Jianle Chan
Papers
2
Total Citations
26
H-Index
2
About
Jianle Chan is a roboticist specializing in legged and wheeled-legged locomotion, with a core focus on autonomous navigation in unknown, rough terrains. His research bridges perception, planning, and control to enable robots to traverse environments that are too hazardous or inaccessible for conventional wheeled or tracked vehicles. Chan’s major contribution lies in developing bio-inspired traversability analysis frameworks that integrate vision, terrain probing, and collapsibility information—mimicking how humans test uncertain ground before committing to a step. His most-cited work, “Traversability analysis with vision and terrain probing for safe legged robot navigation” (2022, 17 citations), introduces a novel probing strategy that significantly improves safety in unstructured environments. In his earlier influential paper, “Explore Bravely: Wheeled-Legged Robots Traverse in Unknown Rough Environment” (2020, 9 citations), Chan proposed a complete exploration pipeline combining traversability analysis, frontier-based exploration, and prioritized navigation for high-degree-of-freedom robots. His work is notable for tackling the practical challenge of deploying robots in real-world disaster response or planetary exploration scenarios, where reliability and adaptability are paramount. Chan’s research continues to push the boundaries of autonomous off-road navigation, making him a rising figure in field robotics.
Research Focus
Key Achievements
Top Papers
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- 2