Rui Jin
Papers
2
Total Citations
27
H-Index
2
About
Rui Jin is a pioneering researcher in robotics and active scene reconstruction, whose work is reshaping how autonomous systems perceive and interact with unknown environments. His primary research areas span active perception, 3D Gaussian splatting, and hierarchical planning for high-fidelity reconstruction. Jin’s major contributions include the development of GS-Planner (2024, 22 citations), a Gaussian-splatting-based planning framework that enables robots to autonomously collect scene data for complete coverage, eliminating the need for tedious manual data capture. This work addresses a critical limitation of prior methods, which relied on unsuitable scene representations and produced unrealistic reconstructions. Building on this, Jin introduced HGS-Planner (2025, 5 citations), a hierarchical planning framework that leverages 3D Gaussian splatting to achieve high-quality, real-time reconstruction in complex missions like search and rescue. By enhancing situational awareness, his research empowers robots to make intelligent decisions in unknown environments. Jin’s innovative integration of active planning with advanced scene representations marks a significant leap forward, making his work essential reading for students and researchers in robotics, computer vision, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2