Jun-Sik Kim

Korea Advanced Institute of Science and Technology, Korea University, Korea Institute of Science and Technology

Papers

Total Citations

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About

Jun-Sik Kim is a robotics researcher whose work centers on autonomous navigation, perception, and manipulation for mobile robots operating in complex, real-world environments. His contributions span simultaneous localization and mapping (SLAM), 3D object detection, and practical robotic systems for disaster response and indoor delivery. Notably, his early work on "PR-SLAM in Particle Filter Framework" (2005, 4 citations) advanced real-time map-building for robots exploring unknown spaces without prior maps, a foundational challenge in autonomous mobility. He has since focused on enabling robots to perceive and interact with their surroundings, as seen in his studies on monocular 3D object detection for indoor robots (2020, 2 citations) and RGBD-based object detection for interactive manipulation (2014, 2 citations). Kim also contributed to applied robotics with "Vehicle Body Design of Armored Robot for Complex Disaster" (2018, 6 citations), his most cited work, addressing rugged hardware design for hazardous environments. Most recently, he explored multi-floor delivery logistics (2024, 1 citation), tackling route planning and elevator integration—a timely problem given the rise of autonomous delivery systems. Through this blend of theoretical SLAM research and practical robot design, Kim has helped bridge the gap between perception algorithms and real-world robotic deployment.