Kaixiang Chen
Papers
1
Total Citations
23
H-Index
1
About
Kaixiang Chen is a researcher specializing in multi-robot systems, sensor fusion, and simultaneous localization and mapping (SLAM). His most-cited work, "Distributed Ranging SLAM for Multiple Robots with Ultra-WideBand and Odometry Measurements" (2022, 23 citations), addresses a critical challenge in robotics: enabling teams of robots to navigate and map environments where traditional LiDAR-based SLAM fails, such as in featureless or degraded settings. Chen’s key contribution lies in integrating Ultra-WideBand (UWB) ranging with odometry to create a distributed SLAM framework that maintains accuracy without relying on rich visual or geometric features. This approach enhances robustness in real-world deployments, from search-and-rescue to industrial automation. By tackling the scalability and reliability of multi-robot coordination, Chen’s work has garnered attention for its practical implications in autonomous systems. His research continues to push the boundaries of collaborative perception, offering efficient solutions for robots operating in challenging, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1