Kaihong Huang
National University of Defense Technology, University of Bonn
Papers
12
Total Citations
166
H-Index
8
About
Kaihong Huang is a leading researcher in field robotics, specializing in autonomous navigation, sensor calibration, and intelligent control for mobile robots operating in challenging environments. Their work bridges perception and action, with major contributions in semantic SLAM for rescue robots, where they developed frameworks that generate both geometric maps and point-wise semantic labels to enhance navigation in disaster scenarios. Huang’s research on extrinsic multi-sensor calibration—particularly for camera-LiDAR systems—has been widely cited (over 60 citations across key papers), addressing critical accuracy issues in state estimation. They have also pioneered geometry-based and deep reinforcement learning approaches for flipper motion planning on articulated tracked robots, enabling real-time autonomous traversal of rough terrain in urban search and rescue. Notable achievements include designing intelligent soccer-playing robots for the RoboCup Middle-Size League, demonstrating robust perception and control in dynamic environments. With a portfolio of highly cited work (e.g., 30 citations for their semantic RGB-D SLAM paper), Huang’s research continues to advance autonomous systems’ reliability and autonomy, making a lasting impact on rescue robotics and multi-sensor integration.
Research Focus
Key Achievements
Top Papers
- 1Semantic RGB-D SLAM for Rescue Robot Navigation30 citations · 2020
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- 3Extrinsic Calibration and Odometry for Camera-LiDAR Systems22 citations · 2019
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- 6The design of an intelligent soccer-playing robot15 citations · 2016
- 7On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration14 citations · 2018
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