Yuan Mei

Wuhu Hit Robot Technology Research Institute

Papers

Total Citations

H-Index

About

Yuan Mei is a researcher at the forefront of domestic robotics, specializing in semantic mapping and autonomous navigation for home environments. Her most-cited work, "Building semantic grid maps for domestic robot navigation" (2020, 29 citations), addresses a critical limitation of traditional occupancy grid maps: their inability to provide robots with meaningful contextual information. Mei’s key contribution is a novel semantic grid mapping method that enriches standard 2-D maps with object-level labels and functional zones, enabling robots to understand not just where obstacles are, but what they are and how to interact with them. This breakthrough bridges the gap between low-level spatial representation and high-level task reasoning, allowing domestic robots to perform more intuitive, context-aware behaviors—such as navigating around a dining table rather than simply avoiding an obstacle. Her work is foundational for advancing service robots from simple point-to-point movers to intelligent home assistants. While her citation count reflects an emerging but impactful career, Mei’s research is gaining traction among roboticists seeking to make autonomous systems truly useful in cluttered, dynamic human spaces.