Linheng Jiang
Papers
2
Total Citations
99
H-Index
2
About
Linheng Jiang is a leading researcher in robotic manipulation and human–machine interaction, with a primary focus on path planning and obstacle detection for manipulators operating in complex, dynamic environments. Dr. Jiang’s most influential work introduces the Improved_RRT algorithm, a novel path-planning method that enables robotic manipulators to navigate intricate multi-obstacle spaces by developing a sophisticated collision detection model based on cylinder and sphere bounding boxes. This breakthrough, detailed in their 2022 paper, has garnered 92 citations, underscoring its significance in advancing practical, executable robotic trajectories. Complementing this, Dr. Jiang addresses real-time performance challenges in human–machine interaction workspaces with an improved lightweight YOLOv3 algorithm for fast and accurate obstacle detection, achieving both high precision and reduced computational load. Their contributions are pivotal for enhancing safety and efficiency in collaborative robotics, with applications spanning manufacturing, service robotics, and autonomous systems. Dr. Jiang’s work stands out for bridging theoretical innovation with tangible engineering solutions, making them a key figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
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