Papers
5
Total Citations
26
H-Index
4
About
Fangchao Hu is a researcher at the intersection of robotics, human-robot interaction, and medical logistics. Their work focuses on two key areas: enabling social robots to perceive and predict human engagement intention, and optimizing the path planning of medical logistics robots. In human-robot interaction, Hu developed interpretable machine learning and fuzzy inference systems to recognize the intensity of human engagement intention (IHEI), allowing social robots to distinguish primary interaction partners in multi-person settings—a critical step toward more natural and precise collaboration. On the logistics side, Hu introduced novel optimization methods for fast medicine dispensing systems (FMDS), reframing replenishment as traveling salesman and vehicle routing problems to minimize time costs and ensure uninterrupted drug dispensing. With several papers published between 2021 and 2023, Hu’s most cited works have each garnered 7 citations, demonstrating growing recognition in both fields. Their integrated approach—combining mathematical optimization with socially aware perception—positions Hu as a contributor to the next generation of intelligent, context-aware service robots that can operate efficiently in dynamic healthcare environments.
Research Focus
Key Achievements
Top Papers
- 1New Method of Path Optimization for Medical Logistics Robots7 citations · 2021
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