Longyao Peng

Chinese University of Hong Kong, Shenzhen

Papers

Total Citations

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About

Longyao Peng is a robotics researcher whose work lies at the intersection of quadruped locomotion and vision-based autonomous navigation. His most-cited paper, "Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini" (2021), has garnered 8 citations and addresses a critical challenge in the field: enabling small-scale legged robots to perceive and navigate their environments without relying solely on blind, robust locomotion. Peng’s contribution is significant because it bridges the gap between mature, blind locomotion controllers—which allow quadrupeds to traverse rough terrain without visual input—and the need for real-world adaptability through onboard vision. By integrating visual perception with locomotion planning for the Pegasus-Mini platform, he has advanced the practical deployment of autonomous quadrupeds in unstructured settings. This work is particularly notable for its focus on small-scale robots, which are often limited by payload and computational constraints. Peng’s research helps push quadruped robots beyond controlled lab environments toward applications in search-and-rescue, inspection, and exploration, where both agility and environmental awareness are essential.