Jiyeong Baek

Seoul National University, Seoul National University of Science and Technology

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About

Jiyeong Baek is a robotics researcher whose work centers on the intersection of task planning, motion control, and dexterous manipulation for complex assembly operations. His primary contributions lie in developing scalable, precise frameworks for robotic furniture assembly—a domain demanding high geometric accuracy and coordinated motion. Baek’s 2022 paper on “Robotic furniture assembly” (13 citations) provides a comprehensive pipeline for task abstraction and motion planning, establishing a foundational approach for autonomous assembly. Earlier, in “Rigid Grasp Candidate Generation for Assembly Tasks” (2020, 9 citations), he introduced a method tailored for generating stable, rigid grasps essential for precise assembly, diverging from general-purpose grasping research. His 2022 work on “Scalable Learned Geometric Feasibility for Cooperative Grasp and Motion Planning” (7 citations) advances the field by employing a learned estimator to handle the multi-modal nature of grasp poses—combining continuous and discrete parameters—using mixed-integer programming. This innovation improves the feasibility and efficiency of cooperative manipulation. With a cumulative impact of nearly 30 citations, Baek’s research is shaping how robots perform intricate, contact-rich tasks, bridging the gap between theoretical planning and real-world assembly challenges.