Yihui Tao

Papers

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About

Yihui Tao’s research focuses on robotic drilling and sampling strategies for planetary exploration, particularly in the challenging environment of the lunar surface. Their major contribution lies in developing real-time recognition-based control systems that enable drilling robots to autonomously adapt to unknown and variable subsurface conditions, such as lunar regolith. This work is critical for deep sample acquisition, a key objective in lunar exploration missions. Tao’s most-cited paper, “A real-time recognition based drilling strategy for lunar exploration” (2014), has garnered 13 citations and demonstrates a novel approach to integrating sensing and control for adaptive drilling. By addressing the fundamental challenge of operating in undetermined media, Tao’s research advances the reliability and efficiency of extraterrestrial sampling robots, directly supporting the goals of future lunar and planetary science missions. Their work stands out for bridging robotics, geotechnical sensing, and space exploration engineering.