Myeongyun Doh
Papers
5
Total Citations
59
H-Index
5
About
Myeongyun Doh is a roboticist whose work sits at the intersection of soft robotics, autonomous navigation, and intelligent manipulation. Doh’s research is distinguished by a focus on creating physically capable and perceptually aware robotic systems. A key contribution is the development of a soft artificial muscle with integrated proprioceptive feedback, using twisted-coiled polymer actuators to achieve inherent compliance and high power density without relying on external sensors (18 citations). In autonomous navigation, Doh has pioneered the integration of radar-based obstacle detection with deep reinforcement learning, creating a robust framework for wheeled robots that can handle both static and dynamic obstacles in diverse scenarios (10 and 9 citations). Doh’s work also extends to practical task planning, having developed an online scheduling method using mixed-integer programming for a dual-arm cooking robot (16 citations), and to accessible hardware design with an open-source, 3D-printed three-fingered adaptive gripper (6 citations). By combining novel actuation, advanced perception, and practical design, Doh is advancing the frontier of robots that can safely and effectively operate in unstructured, human-centric environments.
Research Focus
Key Achievements
Top Papers
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