Xing-Cheng Lin
Papers
2
Total Citations
12
H-Index
2
About
Xing-Cheng Lin is a robotics researcher whose work centers on cooperative simultaneous localization and mapping (SLAM) for heterogeneous multi-robot systems, with a particular focus on air-ground collaboration. Lin’s major contribution lies in developing novel 3D cooperative SLAM methods that enable seamless coordination between quadrotor drones and ground robots in GPS-denied indoor environments. By integrating fuzzy Kalman filtering and ORB-SLAM approaches, Lin has advanced the capability for autonomous teams to jointly explore unknown spaces, creating shared 3D maps that enhance navigation and situational awareness. Lin’s most-cited work, “Cooperative SLAM using fuzzy Kalman filtering for a collaborative air-ground robotic system” (2019), has accumulated 10 citations, demonstrating its relevance to the field. A related study on cooperative SLAM with an autonomous quadrotor and differential driving ground robot further showcases Lin’s systematic approach to solving the challenges of multi-robot perception. Through these efforts, Lin has helped lay the groundwork for resilient, GPS-independent robotic teams, with applications ranging from search-and-rescue to industrial inspection.
Research Focus
Key Achievements
Top Papers
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- 2