Papers
13
Total Citations
292
H-Index
9
About
Songpo Li is a pioneering researcher at the intersection of human-robot interaction (HRI), assistive robotics, and intention recognition, whose work has fundamentally advanced how robots perceive and respond to human needs. With a career spanning over a decade, Li has made landmark contributions in gaze-based robot control, developing novel systems that enable individuals with motion impairments to intuitively direct robotic grasping simply by looking at objects of interest — work that has garnered over 74 citations. His highly cited research on implicit intention communication (78 citations) explored how robots can interpret subtle human behavioral cues, offering transformative possibilities for elderly and impaired users in daily living activities. Li's contributions extend into surgical robotics, where his attention-aware robotic laparoscope systems leverage eye-gaze patterns to reduce cognitive burden on surgeons during minimally invasive procedures. His teleoperation research further addresses intent uncertainty and shared autonomy, enabling smarter robotic assistance in complex manipulation tasks. More recently, Li has embraced deep learning approaches for hierarchical intention estimation in assembly contexts. Collectively, his body of work represents a cohesive vision: creating robots that genuinely understand human intent, making them safer, smarter, and more responsive partners in both clinical and everyday environments.
Research Focus
Key Achievements
Top Papers
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- 4Context-specific intention awareness through web query in robotic caregiving18 citations · 2015
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- 6Using visuomotor tendencies to increase control performance in teleoperation16 citations · 2016
- 7Inference of Manipulation Intent in Teleoperation for Robotic Assistance13 citations · 2020
- 8Attention-aware robotic laparoscope for human-robot cooperative surgery13 citations · 2013
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