Dae Hwan Kim
Papers
6
Total Citations
60
H-Index
5
About
Dae Hwan Kim is a robotics researcher whose work bridges autonomous navigation, field robotics, and bio-inspired design. His primary contributions lie in developing robust path planning and control systems for mobile robots operating in complex, partially known environments. His most cited paper (2014, 23 citations) introduces a novel coverage path planning method for mining robots using exact cell decomposition, enabling efficient and exhaustive area traversal—a critical capability for autonomous mining operations. Kim has also advanced multi-sensor fusion for tracking and following, as demonstrated in his work on a six-legged robot system using a Kinect camera with Kalman filtering and backstepping control (2015, 14 citations). His research extends to automated guided vehicles, where he developed camera-based path following controllers (2019), and to picking robots that integrate localization and path planning in cluttered spaces (2016). Notably, Kim has explored bio-inspired robotics through studies on undulating fin robots (2017), and recently contributed to safety evaluation for autonomous vehicles in intersection crossing scenarios (2023). With a career spanning foundational coverage algorithms to cutting-edge safety validation, Kim’s work has practical impact across mining, logistics, and autonomous driving.
Research Focus
Key Achievements
Top Papers
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- 4Path Following Control of Automated Guide Vehicle Using Camera Sensor6 citations · 2019
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- 6Safety Evaluation for Automated Vehicles in Intersection Crossing3 citations · 2023