Hyojeong Kim

Papers

Total Citations

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About

Hyojeong Kim is a leading researcher in robotics, specializing in motion planning and autonomous systems for mobile manipulators. Her work addresses critical challenges in enabling non-holonomic mobile manipulators—robots that combine mobility with dexterous manipulation—to operate safely and efficiently in congested, semi-structured environments. Kim’s most notable contribution is her 2020 paper on accelerating bi-directional sampling-based search for motion planning, which has garnered 29 citations for its innovative approach to quickly determining feasible paths in complex spaces. This work is pivotal for applications like small-volume manufacturing, where robots must navigate tight spaces and perform precise tasks. Additionally, her research on human-supervised semi-autonomous mobile manipulators (6 citations) introduces a safer, more reliable paradigm for machine tending by blending human oversight with robotic autonomy, reducing risks from inaccurate models. Kim’s impact lies in her ability to bridge theoretical motion planning with practical, real-world deployment, making her a key figure in advancing collaborative robotics. Her achievements highlight a commitment to enhancing robot adaptability and safety, offering foundational insights for students and researchers in autonomous systems and human-robot interaction.