Jun Ha Sohn
Papers
2
Total Citations
8
H-Index
2
About
Dr. Jun Ha Sohn is a robotics researcher whose work centers on human-robot interaction, specifically enabling humanoid social robots to learn and replicate human motion. His primary contributions lie in the development of recursive inverse kinematic analysis techniques, which allow robots to translate raw motion data from depth cameras into fluid, natural movements. By solving the complex mathematical problem of mapping human joint angles to a robot’s mechanical structure, Dr. Sohn’s research bridges the gap between human demonstration and robotic execution. His most cited works, including “Recursive Inverse Kinematic Analysis for Humanoid Robot Based on Depth Camera Data” (2021) and its 2020 predecessor, each with 4 citations, have laid foundational methods for teaching robots through non-invasive, vision-based systems. This approach is critical for creating socially adept robots that can interact with humans in a friendly, intuitive manner. Dr. Sohn’s work addresses a key challenge in social robotics: making humanoid machines not just functional, but relatable and responsive to human gestures, paving the way for more natural collaboration between humans and robots in everyday settings.
Research Focus
Key Achievements
Top Papers
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- 2