Shengze Yuan
Papers
1
Total Citations
1
H-Index
1
About
Shengze Yuan is a pioneering researcher in the field of autonomous robotics, with a specialized focus on extraterrestrial surface exploration and human-robot collaboration. His work centers on developing advanced path planning and control systems for assistive robots operating in challenging lunar environments. Yuan’s major contribution lies in his innovative approach to person-following robots for lunar missions, where he introduced a flatness-based Safe Model Predictive Control (Safe-MPC) framework that incorporates virtual disturbances. This methodology enables robots to navigate unpredictable lunar terrain while maintaining safe, reliable tracking of astronauts—a critical capability for reducing crew workload during surface operations. His 2025 paper on this subject has already garnered attention, accumulating 1 citation in its early stages, signaling growing interest from the space robotics community. By addressing the unique challenges of lunar exploration—such as low gravity, uneven terrain, and communication delays—Yuan’s work bridges the gap between theoretical control systems and practical deployment in space missions. His research not only advances autonomous navigation but also lays groundwork for future human-robot teams on the Moon and beyond, making him a rising figure in the intersection of robotics, control theory, and space exploration.
Research Focus
Key Achievements
Top Papers
- 1