Jiahao Jin
Papers
2
Total Citations
51
H-Index
2
About
Jiahao Jin is a robotics researcher whose work centers on intelligent perception and autonomous manipulation in complex, unstructured environments. His primary contributions lie at the intersection of computer vision, robotic control, and construction automation. Jin is best known for pioneering a robotic system for the autonomous binding of rebar, detailed in his highly cited 2021 paper, which has garnered 48 citations. This work introduced an innovative framework combining active perception and motion planning, enabling a robot to detect, locate, and securely fasten rebar in dynamic construction sites—a task traditionally requiring human dexterity. By integrating real-time point cloud processing with adaptive grasping strategies, Jin’s research addresses critical challenges in construction robotics, improving both safety and efficiency. He has also advanced indoor service robotics through a 2022 study on target detection and pose estimation from point clouds, tackling issues of occlusion and clutter. With a growing citation impact, Jin’s work is shaping the future of robotic perception and manipulation, offering practical solutions for real-world automation in both industrial and domestic settings.
Research Focus
Key Achievements
Top Papers
- 1Robotic binding of rebar based on active perception and planning48 citations · 2021
- 2Indoor Target Detection and Pose Estimation Based on Point Cloud3 citations · 2022