Longchuan Niu
Papers
7
Total Citations
66
H-Index
5
About
Longchuan Niu is a leading researcher in robotic vision and autonomous manipulation, with a focus on solving perception challenges in extreme industrial environments. His work spans mining automation, nuclear fusion maintenance, and precision assembly, where he has pioneered real-time 3D visual perception systems that enable robots to operate reliably under harsh conditions—from underground rock breaking to remote handling in ITER, the international fusion energy project. Niu’s most cited paper, "Autonomous robotic rock breaking using a real‐time 3D visual perception system" (2021, 29 citations), introduces a stereoscopic vision approach that allows heavy-duty manipulators to autonomously identify and break oversized rocks, a critical step for improving mine throughput and safety. He also developed a stereoscopic eye-in-hand vision system for ITER (2019, 11 citations) and integrated multi-camera setups for automatic assembly (2019, 8 citations), addressing the need for robust pose estimation in environments where CAD models are unreliable. With over 60 citations across his key works, Niu’s contributions are shaping the next generation of adaptive, vision-guided robots for hazardous and unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2A stereoscopic eye-in-hand vision system for remote handling in ITER11 citations · 2019
- 3Integration of Multi-Camera Vision System for Automatic Robotic Assembly8 citations · 2019
- 4Robust Pose Estimation with a Stereoscopic Camera in Harsh Environments6 citations · 2018
- 5Eye-in-Hand Manipulation for Remote Handling: Experimental Setup5 citations · 2018
- 6Efficient 3D Visual Perception for Robotic Rock Breaking5 citations · 2019
- 7