Hyoung Cheol Kim

Seoul National University, Seoul National University of Science and Technology

Papers

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About

Hyoung Cheol Kim is a robotics researcher whose work focuses on the intersection of task planning, motion control, and machine learning for complex manipulation. His key research areas include robotic assembly, grasp planning, and cooperative motion planning, with a particular emphasis on enabling robots to handle multi-modal decision-making problems. Kim’s major contributions include developing a scalable learned geometric feasibility estimator that addresses the challenge of multi-modal grasp poses—where both continuous and discrete parameters must be considered simultaneously. This work, published in 2022 with 7 citations, proposes a novel approach that improves grasp and motion planning by integrating mixed-integer programming with learning-based methods. His most cited paper, "Robotic furniture assembly: task abstraction, motion planning, and control" (2022, 13 citations), demonstrates a comprehensive framework for automating furniture assembly, from high-level task decomposition to low-level control. This work showcases his ability to bridge theoretical planning algorithms with practical robotic systems. Kim’s research is particularly notable for its potential to advance autonomous manufacturing and household robotics, making him a promising young researcher in the field of robotic manipulation and task planning.