Junha Kim
Papers
3
Total Citations
16
H-Index
3
About
Junha Kim is a rising force in robotics, specializing in multi-modal perception, aerial manipulation, and real-time autonomy. His work addresses critical challenges in sensor fusion and physical interaction, enabling robots to operate more robustly in unstructured environments. Kim’s most cited paper, “Robust Extrinsic Calibration for Arbitrarily Configured Dual 3D Lidars using a Single Planar Board” (2020, 10 citations), provides a practical, target-based solution for seamlessly integrating multiple LiDARs—a fundamental requirement for modern autonomous vehicles and mobile robots. He has also made significant strides in aerial robotics, developing an “Image-Based Time-Varying Contact Force Control of Aerial Manipulator Using Robust Impedance Filter” (2024, 3 citations), which allows drones to perform precise physical tasks like pushing or pressing against surfaces using only visual feedback. Most recently, Kim introduced a novel approach for “Real-Time Moving Object Detection for 3-D LiDAR Using Occlusion Accumulation in Range Image” (2025, 3 citations), a computationally efficient, GPU-free method that overcomes the limitations of deep learning in dynamic environments. By focusing on practical, real-time solutions without sacrificing accuracy, Kim’s research is paving the way for more capable and deployable robotic systems in field applications.
Research Focus
Key Achievements
Top Papers
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