Youjun Xiong
Papers
7
Total Citations
75
H-Index
4
About
Youjun Xiong is a leading researcher in the field of collaborative robotics and dexterous manipulation, with a focus on enhancing the safety and human-likeness of human-robot interaction. His work centers on developing algorithms that enable robots to work alongside humans seamlessly, addressing critical challenges in dynamic obstacle avoidance and grasp planning. Notably, his 2022 paper on a "Human-Robot Dynamic Fusion Safety Algorithm" (23 citations) introduces a novel approach to ensuring safe collaboration between cobots and human operators, while his 2021 study on "Hybrid Trajectory Replanning-Based Dynamic Obstacle Avoidance" (21 citations) advances real-time motion planning for physical interaction. Xiong has also made significant contributions to anthropomorphic manipulation, proposing an integrated inverse kinematics scheme for manipulators with radial elbow offset (12 citations) and a fuzzy inference system for grasp force adjustment in force sensor-less robots (8 citations). His recent work on end-to-end spatial grasp prediction using deep networks (4 citations) pushes the boundaries of high-degree-of-freedom grasping with humanoid hands, a critical area for dexterous manipulation. With a total of over 75 citations across his most-cited papers, Xiong’s research is shaping the future of safe, human-like robotics.
Research Focus
Key Achievements
Top Papers
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