Papers
9
Total Citations
340
H-Index
8
About
Dr. Jingfu Jin is a leading researcher in robotics, specializing in multi-robot systems, nonholonomic mobile robot navigation, and human-robot interaction. His most significant contributions lie in developing novel, decentralized control-theoretic approaches for collision avoidance and formation control. Jin pioneered a stable switched-system framework that divides a robot’s configuration space into safe and avoidance regions, enabling robust, provably safe navigation. His work on a "decentralized cooperative mean approach" introduced a virtual obstacle at the mean position of robots to prevent collisions, while his consensus-based attractive vector method allows multiple nonholonomic robots to achieve desired formations and heading alignment without centralized coordination. His highly cited paper on "Parameter identification for industrial robots with a fast and robust trajectory design approach" (185 citations) is a cornerstone for efficient robot calibration. Additionally, Jin has advanced human-robot collaboration through a multi-view camera-projector system that provides visual feedback, enhancing shared control and obstacle avoidance. With over 340 total citations, his research has profoundly impacted the fields of swarm robotics, industrial automation, and safe autonomous navigation.
Research Focus
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