Jinjian Li
Papers
2
Total Citations
24
H-Index
2
About
Jinjian Li is a rising researcher in robotics and computer vision, with a focus on space manipulator systems and neuromorphic sensing. His work addresses critical challenges in autonomous control and perception for dynamic environments. In his highly cited 2023 paper, "Time-Optimal Path Tracking for Dual-Arm Free-Floating Space Manipulator System Using Convex Programming," Li introduced a novel convex programming approach to solve the time-optimal path-tracking problem for dual-arm free-floating space manipulators (FFSM). This work, which has garnered 19 citations, provides a rigorous framework for optimizing system dynamics and torque constraints, enabling faster and more efficient maneuvers in space—a key contribution to on-orbit servicing and debris removal. Li also advanced event-based vision with his "DTFS-eHarris" detector, achieving high-accuracy asynchronous corner detection for event cameras in complex scenes. This bio-inspired sensor technology, with 5 citations, promises low-latency performance for machine vision and AI applications. Li’s dual focus on space robotics and neuromorphic sensing positions him at the forefront of autonomous systems, with his convex programming method offering a scalable solution for real-time control in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
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- 2