Hongxiang Jiang

China University of Mining and Technology

Papers

Total Citations

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About

Hongxiang Jiang is a leading researcher in intelligent robotics, with a primary focus on motion planning and perception for robotic manipulators operating in complex, human-centric environments. His work directly addresses the critical challenge of enabling robots to navigate safely and efficiently amidst unpredictable obstacles, a cornerstone for advanced human-machine interaction. Jiang’s most significant contribution is the development of the “Improved_RRT” path planning algorithm, detailed in his highly cited 2022 paper (92 citations). This method innovatively combines cylinder and sphere bounding boxes for precise collision detection, allowing manipulators to compute shorter, more executable paths in cluttered spaces. Complementing this, Jiang has advanced real-time obstacle detection with a fast, lightweight YOLOv3-based system, achieving high accuracy while drastically reducing computational load—a vital step for responsive, safe collaboration in shared workspaces. Through these contributions, Jiang is shaping the future of autonomous manipulation, making robots more adaptable and reliable partners in industry and daily life.