Papers
5
Total Citations
13
H-Index
2
About
Keunhwan Kim is a robotics researcher whose work centers on autonomous mobile manipulation, multi-robot coordination, and AI-driven manufacturing. His major contributions include developing a six-wheeled mobile robot capable of predicting and adapting its motion to climb curbs in urban environments—a critical advance for outdoor delivery and service robots. Kim also pioneered a traversability assessment method that enables multi-robot systems to share obstacle recognition data for collision-free path planning, directly improving efficiency in crowded industrial settings. In manufacturing, he designed a reconfigurable autonomous mobile manipulator that overcomes fixed workspace limits, validated for flexible production lines. Notably, Kim’s team, SK²Y, won the Furniture Assembly Competition at the AI–Robot Challenge 2021, where they combined AI and robotics to autonomously assemble furniture from instructions—a landmark achievement in domestic robotics. With over a dozen citations across his top papers, Kim’s work bridges perception, planning, and physical interaction, offering practical solutions for real-world automation challenges. His research is essential reading for students and engineers interested in mobile robotics, multi-agent systems, and the future of flexible manufacturing.
Research Focus
Key Achievements
Top Papers
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