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About

Ruyi Zhou is an accomplished robotics researcher whose work sits at the intersection of legged robot locomotion, terrain perception, and planetary exploration. Best known for contributions to autonomous mobile robotics in unstructured environments, Zhou has established a distinctive research identity around enabling legged robots to navigate complex, hazardous terrain through both intelligent planning and rich physical understanding of their surroundings. Zhou's most celebrated work — a 2023 study on deploying teams of legged robots in planetary analog environments (104 citations) — demonstrates a bold vision for the future of space exploration, addressing the critical limitations of conventional rovers on steep and unstructured terrain. Complementing this, Zhou has pioneered haptic and vision-based terrain classification methods, including the innovative "pressing and rubbing" tactile feature framework (27 citations) and physics-informed visual identification of terrain properties (2024), helping robots anticipate non-geometric hazards like sinkage and slippage before they occur. Zhou's planning contributions are equally significant, with Monte Carlo Tree Search-based gait and foothold planning methods (28 citations) advancing robot passability in sparse environments. Notably, Zhou also contributed to real lunar science, analyzing Yutu-2 rover data to characterize farside regolith (20 citations). Across more than 230 cumulative citations, Zhou's research offers an integrated, physically-aware approach to legged robot autonomy with genuine real-world and extraterrestrial impact.