Papers
1
Total Citations
3
H-Index
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About
Jaewan Bak is a rising researcher at the intersection of robotics, human-computer interaction, and telepresence. His work focuses on bridging the gap between physical robotic embodiment and immersive human communication. In his most cited paper, "Full-Body Pose Estimation of Humanoid Robots Using Head-Worn Cameras for Digital Human-Augmented Robotic Telepresence" (2024), Bak tackles a critical challenge in remote collaboration: the loss of natural human presence during robot teleoperation. He proposes a system that uses head-worn cameras to estimate a remote user’s full-body pose, then maps it onto a digital human avatar overlaid on the robot’s body. This allows the remote individual to be seen gesturing, moving, and interacting naturally, restoring the realism of face-to-face communication. Though early in his career, with 3 citations on this work, Bak’s contribution is notable for its novel integration of computer vision, pose estimation, and humanoid robotics. His research has immediate implications for remote work, healthcare, and collaborative manufacturing, where physical presence matters. Bak’s work represents a thoughtful step toward making telepresence not just functional, but genuinely human.
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Top Papers
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