Yuyang Gao

Papers

Total Citations

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About

Yuyang Gao is an emerging researcher specializing in human–robot interaction (HRI) and robotic teleoperation, with a particular focus on intuitive, gesture-based control systems for complex robotic platforms. His work addresses a critical challenge in modern robotics: enabling seamless, non-contact communication between human operators and sophisticated robotic systems such as quadruped robots equipped with robotic arms and mobile manipulators. Gao's most impactful contribution, "Human–Robot Interaction Using Dynamic Hand Gesture for Teleoperation of Quadruped Robots with a Robotic Arm" (2025), has already garnered 16 citations, a remarkable achievement for a publication so recently released. This work advances the field beyond conventional static sign language recognition by incorporating dynamic hand gesture interpretation, significantly improving operational intuitiveness. His complementary study on one-handed remote control for mobile manipulators demonstrates a practical commitment to accessibility and user convenience, leveraging tools such as MediaPipe and Intel RealSense depth sensing technology. Together, these contributions position Gao as a promising voice in the robotics community, bridging the gap between human intent and robotic execution. Students and researchers interested in teleoperation, gesture recognition, or HRI will find his work both technically rigorous and practically inspiring.