Jinzhou Li
Papers
2
Total Citations
10
H-Index
2
About
Jinzhou Li is a rising researcher at the intersection of human-robot interaction, multi-agent systems, and dexterous manipulation. His work focuses on two frontiers: enabling intuitive control of multi-UAV swarms and advancing tactile sensing for robotic hands. In his 2024 paper on hand gesture-based interactive control for multi-UAV operations, Li addresses the critical challenge of cognitive overload in drone swarm management, proposing a system that allows operators to command multiple aerial vehicles through natural hand motions—a scalable solution that reduces complex coordination to intuitive gestures. His 2025 work on canonical representation and force-based pretraining of 3D tactile data tackles the high-dimensionality problem in dexterous visuo-tactile policy learning, introducing a novel framework that extracts meaningful tactile features from dense sensor arrays on robotic hands. Though early in his career, with each paper garnering 5 citations, Li’s contributions are already shaping how humans interact with robot teams and how robots perceive touch. His research promises to make multi-UAV operations more accessible and robotic manipulation more precise, marking him as a promising voice in embodied AI and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2