Papers
16
Total Citations
174
H-Index
7
About
Donghoon Baek is a robotics researcher whose work spans two compelling frontiers: flexible surgical robotics and wheeled humanoid robot control. His most significant contributions lie in advancing the precision and autonomy of minimally invasive surgical systems, particularly for laparoscopic and single-incision procedures. Baek has made notable strides in tackling hysteresis — a persistent challenge in tendon-sheath-driven flexible robots — developing learning-based compensators and hybrid estimation frameworks that dramatically improve motion accuracy in constrained surgical environments. His 2018 paper on probabilistic roadmap and reinforcement learning-based path planning for surgical robots has garnered 40 citations, reflecting its foundational impact on surgical automation. His 2020 hysteresis compensator work (30 citations) further demonstrates his expertise in marrying data-driven and model-based approaches. Beyond surgical robotics, Baek has expanded into humanoid locomotion, contributing ensemble deep reinforcement learning controllers and online inertial parameter identification methods for wheeled humanoid platforms. His hands-free telelocomotion research highlights a broader vision for practical, human-centered robotic systems. Collectively, his body of work — spanning over 150 citations — positions him as a versatile and impactful contributor to intelligent, learning-enabled robotic systems in both medical and mobile manipulation domains.
Research Focus
Key Achievements
Top Papers
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- 8Hands-free Telelocomotion of a Wheeled Humanoid7 citations · 2022
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