Yanming Wan
Papers
1
Total Citations
2
H-Index
1
About
Yanming Wan is a researcher at the forefront of human-robot interaction, specializing in how machines understand and execute complex human instructions within physical and social contexts. Their most notable contribution is the introduction of **HandMeThat**, a benchmark that redefines evaluation in this field by moving beyond simple language grounding and planning. Unlike prior datasets, HandMeThat holistically tests a robot’s ability to resolve ambiguities inherent in real-world human communication—considering not just spatial constraints but also social dynamics and contextual cues. This work, published in 2023, has already garnered **2 citations** and is rapidly gaining recognition for pushing the boundaries of situated dialogue and embodied AI. Wan’s research bridges the gap between natural language processing and robotics, tackling the critical challenge of making robots truly collaborative partners. By focusing on the nuanced interplay between physical environments and social understanding, Yanming Wan is laying the groundwork for more intuitive, adaptive, and trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1