Papers
11
Total Citations
114
H-Index
6
About
Shoujie Li is a robotics researcher whose work sits at the intersection of tactile sensing, intelligent grippers, and human-robot interaction. His research is primarily driven by a compelling challenge: enabling robots to perceive and manipulate objects reliably in environments where vision fails — whether underwater, in darkness, or amid smoke and reflections. His most influential contribution, "TaTa" (2022, 35 citations), introduced a universal jamming gripper combining large-area tactile sensing with high precision, demonstrating particular promise for underwater manipulation tasks. Building on this foundation, JamTac (2023) extended these capabilities with integrated sensing-grasping functionality for low-visibility environments. Li's more recent work has pushed into bio-inspired sensing, with a mechanoluminescent visuotactile sensor (2025, 27 citations) that mirrors biological event-driven perception for real-time intelligent interaction. His dual-modal electronic skin research further advances bidirectional human-robot interaction by coupling tactile perception with haptic feedback. Beyond sensing, Li has contributed to cable-driven robotic arm design, liquid manipulation, and safe reinforcement learning for unstructured environments. With over 110 cumulative citations, his body of work reflects a systematic effort to give robots the tactile intelligence necessary to operate meaningfully in complex, real-world conditions.
Research Focus
Key Achievements
Top Papers
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- 4Design of a Tactile Sensing Robotic Gripper and Its Grasping Method11 citations · 2021
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