Dongwei Pan

Chinese University of Hong Kong, Shenzhen

Papers

Total Citations

H-Index

About

Dongwei Pan is a robotics researcher whose work centers on the intersection of vision-based perception and agile quadruped locomotion, with a particular focus on enabling small-scale robots to navigate complex, unstructured environments. His most cited paper, "Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini" (2021, 8 citations), addresses a critical challenge in the field: bridging the gap between robust blind locomotion and autonomous, perceptually-guided navigation. Building on the foundation of advanced blind locomotion controllers, Pan’s contribution lies in integrating visual input to allow compact quadrupeds like Pegasus-Mini to dynamically plan paths and avoid obstacles in real-world settings. This work is notable for its practical approach to scaling down sophisticated navigation algorithms for lightweight, cost-effective platforms, making it relevant for applications in search-and-rescue, inspection, and education. While his citation count is modest, reflecting the early stage of his career, Pan’s research is part of a broader push toward fully autonomous, vision-guided legged robots—a key frontier in robotics. His efforts contribute to the ongoing evolution from purely reactive locomotion to intelligent, environment-aware mobility.