Li-Pu Chen
Papers
2
Total Citations
27
H-Index
2
About
Li-Pu Chen is a robotics researcher whose work bridges the gap between autonomous systems and human-centered interaction. His primary research areas include socially-aware navigation, human-robot interaction, and assistive robotics. Chen's most significant contribution is the development of an extended social force model for omnidirectional mobile robots, enabling them to navigate safely and naturally in multi-human environments by accounting for both physical and psychological comfort—a paper that has garnered 22 citations. He has also advanced assistive technology through a robotic walker that leverages deep learning for sensor fusion, achieving high maneuverability to support elderly mobility. This work challenges traditional safety-focused designs by integrating real-time data from multiple sensors, earning 5 citations. Chen's research is notable for its practical application of social science principles to robotics, ensuring that machines not only move efficiently but also respect human social norms. His achievements demonstrate a commitment to creating robots that are both technically robust and socially intuitive, making him a rising voice in the field of human-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2