Tong Wu
Papers
1
Total Citations
4
H-Index
1
About
Tong Wu is an emerging researcher at the intersection of human-robot interaction and assistive robotics, with a particular focus on robot-assisted feeding and social dining scenarios. Their most notable work addresses a deeply human challenge: enabling individuals with mobility limitations to eat independently in social settings. In their 2022 paper, "Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups," Wu and colleagues developed data-driven models capable of predicting optimal moments for a robot to deliver food during communal meals — a nuanced problem that requires understanding complex social and temporal dynamics at the dinner table. This research pushes beyond purely functional feeding assistance to consider the dignity, social inclusion, and emotional experience of users, recognizing that shared meals hold profound personal significance for people with physical disabilities. With 4 citations in a nascent but rapidly growing field, Wu's contributions are beginning to attract attention from the broader robotics and accessibility research communities. Their work represents a promising step toward more socially intelligent assistive technologies that honor the full humanity of the people they serve.
Research Focus
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Top Papers
- 1