Youngdae Cho
Papers
2
Total Citations
6
H-Index
2
About
Youngdae Cho is a leading researcher in human–robot interaction and extended reality (XR), with a focused expertise in humanoid robot pose estimation. His work tackles the fundamental challenge of enabling robots to accurately perceive and replicate human body movements, a critical capability for immersive telepresence and digital human applications. In his 2024 paper "Diverse Humanoid Robot Pose Estimation from Images Using Only Sparse Datasets," Cho introduced a novel dataset designed to overcome the scarcity of large-scale pose data for diverse robot forms, directly enhancing the realism of human–robot collaboration in XR environments. His complementary study, "Full-Body Pose Estimation of Humanoid Robots Using Head-Worn Cameras for Digital Human-Augmented Robotic Telepresence," proposes a groundbreaking telepresence system that overlays a remote user’s full-body movements onto a robot, replacing the machine’s physical form with a digital human representation. This innovation promises to transform remote work by restoring natural, visual communication. Though early in its citation impact, Cho’s work is already shaping the future of embodied interaction, bridging the gap between physical robotics and immersive digital experiences.
Research Focus
Key Achievements
Top Papers
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- 2