Papers
6
Total Citations
173
H-Index
5
About
Shiqing Xin is a leading researcher in computer graphics, robotics, and geometric computing, whose work bridges fundamental theory with practical applications in 3D reconstruction and robotic manipulation. His most impactful contribution is the development of a multi-robot collaborative scanning approach for dense 3D reconstruction of unknown indoor scenes, a paper that has garnered 109 citations and pioneered efficient coordination strategies for autonomous scanning teams. In visual SLAM, Xin has advanced robustness by introducing dynamic object removal techniques, addressing a critical limitation of traditional algorithms that assume static environments. His theoretical work on the extended Xin–Wang algorithm for computing geodesic offsets on triangle meshes (27 citations) provides efficient solutions for geometric processing, while his research on caging loops in shape embedding space offers a novel framework for synthesizing feasible robotic grasps by decoupling grasp planning from surface geometry. Additionally, Xin has contributed probability-driven methods for point cloud registration in indoor scenes. His work consistently combines rigorous mathematical foundations with real-world applicability, making him a key figure in the intersection of geometry processing and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot collaborative dense scene reconstruction109 citations · 2019
- 2
- 3Visual SLAM Based on Dynamic Object Removal18 citations · 2019
- 4Probability driven approach for point cloud registration of indoor scene10 citations · 2020
- 5Caging Loops in Shape Embedding Space: Theory and Computation5 citations · 2018
- 6Caging Loops in Shape Embedding Space: Theory and Computation4 citations · 2018