Juyeon Weon

Papers

Total Citations

H-Index

About

Juyeon Weon is a rising researcher at the intersection of human-robot interaction (HRI) and intelligent control systems. Her work focuses on developing intuitive, multimodal interfaces that bridge the gap between human intent and robotic action, with a particular emphasis on reducing control errors and enhancing operational efficiency. In her highly cited 2024 paper, "Camera-based Virtual Drone Control System Using Two-handed Gestures," Weon pioneered a vision-based framework that allows operators to pilot drones using natural hand gestures, a critical advancement for Industry 4.0 applications in logistics and autonomous vehicle management. Building on this, her 2025 work, "Command Feedback System Based on Context Awareness for Minimizing Control Error in Human-Robot Interaction," introduces a context-aware feedback loop that integrates speech and gesture recognition to dynamically correct user commands, significantly improving precision in real-time robotic control. While early in her career, with her top papers accumulating 3 and 1 citations respectively, Weon’s contributions are foundational for safer, more accessible drone and robot operation. Her research promises to redefine how humans collaborate with autonomous systems in industrial and everyday settings.