Papers

19

Total Citations

153

H-Index

8

About

Zheng Zhu is a robotics researcher whose work sits at the intersection of terrain-aware locomotion, robot-terrain interaction mechanics, and autonomous navigation for mobile robots operating in challenging, unstructured environments. His most significant contributions center on developing innovative sensing and prediction frameworks that enable wheeled and legged robots to safely traverse soft, deformable terrains — a critical challenge in planetary exploration and field robotics. Zhu's pioneering "Wheel Vision" and "Foot Vision" systems introduced sensorized, vision-equipped wheels and feet that capture real-time wheel-terrain and foot-terrain interaction data, enabling robots to anticipate hazards like excessive sinkage and slippage before they cause mission failure. His physics-informed terrain property prediction methods, applied to both quadruped and wheeled platforms, have drawn considerable attention, collectively accumulating over 100 citations across his published work. Beyond perception, Zhu has contributed to robot design through novel platforms such as the SWhegPro wheel-leg transformable robot and a quasi-direct-drive bipedal wheel-legged system. His 2024 TAIL dataset further advances multi-modal SLAM research in granular environments. Across these efforts, Zhu has established himself as an emerging authority in terrain-adaptive robotics, with research directly relevant to planetary rovers, search-and-rescue systems, and autonomous off-road vehicles.

Research Focus

Key Achievements

8
H-Index
19
Papers
153
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Predict the Rover Mobility Over Soft Terrain Using Articulated Wheeled Bevameter
23 citations · 2022
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Southern University of Science and Technology, Shenzhen Academy of Robotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago