Haifei Chi
Papers
1
Total Citations
3
H-Index
1
About
Haifei Chi is a researcher at the intersection of robotics, artificial intelligence, and human-machine interaction, with a particular focus on culturally inspired automation. Their most cited work, "Voice-Controlled Tea Pouring Robot Based on Machine Vision and Artificial Potential Field Method" (2020), exemplifies this niche by integrating machine vision for object recognition and the artificial potential field method for real-time obstacle avoidance, enabling a robot to autonomously serve tea in dynamic environments. Although early in their citation impact—with 3 citations to date—this paper highlights Chi’s commitment to embedding AI into everyday cultural practices, addressing both technical challenges in robotic manipulation and the growing demand for intelligent service robots. By combining voice control with robust navigation algorithms, Chi’s work contributes to the broader field of assistive robotics, demonstrating how cutting-edge techniques can be adapted for domestic and hospitality settings. Their research holds promise for advancing human-robot collaboration in context-aware applications, making technology more accessible and culturally relevant.
Research Focus
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Top Papers
- 1