Yinghui Liu

Northeastern University, Southeast University, Deakin University

Papers

Total Citations

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About

Yinghui Liu is a robotics researcher whose work bridges the frontiers of planetary exploration, autonomous manipulation, and underwater vehicle control. Liu’s early contributions include the mechanical design and modelling of a Robotic Planetary Drilling System (RPDS)—a compact, self-propelled, steerable drilling platform intended for subsurface sampling on deep space missions. This foundational work, which has garnered 16 citations, addresses the critical need for autonomous drilling in extraterrestrial environments. More recently, Liu has advanced robotic learning and control: a 2022 study on grasp pose learning from human demonstration, with 11 citations, integrates task constraints to improve dexterous manipulation. In 2023, Liu proposed a novel disturbance observer-based fuzzy sliding mode control scheme for autonomous underwater vehicles (AUVs), tackling path tracking under mismatched disturbances and uncertain dynamics—a significant step for robust marine robotics. Across these domains, Liu’s work demonstrates a consistent focus on enabling robots to operate reliably in challenging, unstructured environments, from the vacuum of space to the depths of the ocean.