Chaoran Tian
Papers
2
Total Citations
84
H-Index
2
About
Chaoran Tian is a robotics researcher specializing in simultaneous localization and mapping (SLAM), sensor fusion, and multi-robot dense reconstruction. His work addresses critical challenges in deploying autonomous systems with cost-effective hardware and collaborative capabilities. Tian’s most cited paper, “A Simultaneous Localization and Mapping (SLAM) Framework for 2.5D Map Building Based on Low-Cost LiDAR and Vision Fusion” (2019, 72 citations), introduces a novel approach that fuses data from inexpensive LiDAR sensors with visual inputs to create robust 2.5D maps, overcoming the limitations of low-cost hardware in consumer robots. This work has been influential in making SLAM more accessible for price-sensitive applications. In a more recent contribution, “Coxgraph: Multi-Robot Collaborative, Globally Consistent, Online Dense Reconstruction System” (2021, 12 citations), Tian presents a system enabling multiple robots to collaboratively build globally consistent, dense 3D maps in real time—a breakthrough for time-critical missions like search and rescue. By integrating vision and LiDAR data with multi-robot coordination, Tian’s research pushes the boundaries of affordable, scalable robotic perception, offering practical solutions for real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 2