Hyojoo Cho

Papers

Total Citations

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About

Hyojoo Cho is a researcher advancing the frontier of autonomous navigation and human-robot interaction. Her work focuses on two critical challenges: robust ego-motion estimation for autonomous vehicles in complex urban settings, and intuitive human-following capabilities for service robots. In her most-cited paper (16 citations), Cho addresses the practical limitations of GNSS-based navigation in urban canyons, providing essential modeling for autonomous vehicles to maintain reliable positioning where satellite signals are degraded. This work is foundational for deploying self-driving cars and agricultural robots in real-world environments. Her earlier research (5 citations) tackles the equally demanding problem of human-robot collaboration, developing a robust leg-tracking system that fuses Kinect depth data with laser range finder information. This innovation enables mobile robots to reliably follow humans in indoor spaces, with direct applications for shopping cart assistants, airport porter robots, and museum guides. Cho’s contributions bridge the gap between theoretical navigation algorithms and practical deployment, making autonomous systems more resilient and responsive in the dynamic, unpredictable environments where they are most needed.