Xiaoxuan Lu

Papers

Total Citations

H-Index

About

Xiaoxuan Lu is a researcher working at the intersection of mobile robotics, semantic mapping, and human-robot interaction, with a particular focus on enabling intelligent assistive systems in everyday domestic environments. Their work explores how robots can develop richer, more meaningful understandings of the spaces they inhabit by integrating human contextual cues alongside traditional sensor data. A standout contribution is their 2017 probabilistic framework that combines activity data from wearable devices — such as smartwatches — with spatial information gathered by mobile robots to achieve semantic mapping and room-level user localization. This elegant fusion of human and machine perception represents a compelling step toward more responsive assistive robotics. Building on this foundation, their 2018 work "CommonSense" advocates for deeper collaboration between humans and robots in shared environments, arguing that meaningful high-level interaction demands genuine semantic understanding of surroundings — a vision that anticipates growing demands in eldercare, accessibility, and smart home technologies. Though still accumulating citations, with works drawing 5 and 3 citations respectively, Lu's research addresses timely and critical challenges in deploying socially aware robots. Students interested in assistive AI, indoor localization, or context-aware robotics will find Lu's contributions a valuable entry point into this rapidly evolving field.