Lingcheng Kong

Hefei Institutes of Physical Science, Institute of Advanced Manufacturing Technology

Papers

Total Citations

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About

Lingcheng Kong is a robotics researcher whose work focuses on the critical intersection of simultaneous localization and mapping (SLAM), sensor fusion, and 3D perception for mobile robots operating in complex, real-world environments. His most influential contribution is the development of an improved Hector-SLAM algorithm that fuses data from LiDAR and an Inertial Measurement Unit (IMU), specifically designed for wheeled robots in challenging manufacturing workshops. This work, which has garnered 8 citations, directly addresses the need for accurate prior map information in intelligent manufacturing and logistics scenarios, enhancing robot autonomy in cluttered industrial settings. Kong’s broader research portfolio demonstrates a sustained interest in enabling robots to perceive and navigate their surroundings. He has contributed to real-time general object recognition for indoor robots using point cloud libraries and Kinect sensors, and has explored 3D reconstruction and robot path planning by integrating Kinect systems with improved ant colony algorithms. Through these contributions, Kong has advanced the practical deployment of mobile robots in manufacturing and indoor environments, bridging the gap between sensor data processing and robust autonomous navigation.