Song Li Song Li

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About

Song Li’s research lies at the intersection of human-robot interaction, autonomous navigation, and intelligent systems for dynamic environments. His most cited work, “Human Mobile Robot Interaction in the Retail Environment” (2022), exemplifies his focus on deploying robots in real-world, close-proximity collaboration with humans. In this study, Li designed and recorded a dataset in a forward-looking wholesale and retail setting, where a mobile robot worked alongside eight participants performing order picking, sorting, and inventory checking. This contribution provides critical insights into safe and efficient human-robot teamwork in cluttered, unpredictable spaces. With over three citations, the work has already informed subsequent studies in collaborative robotics and ergonomics. Li’s broader impact includes advancing frameworks for robot perception and decision-making in shared environments, bridging the gap between laboratory research and practical deployment. His achievements highlight a commitment to creating robots that are not only technically capable but also socially aware, making him a notable figure in the growing field of human-centered robotics.