Yangyang Mu
Papers
1
Total Citations
1
H-Index
1
About
Yangyang Mu is a researcher at the forefront of bionic robotics and human-machine interaction, with a particular focus on developing intuitive control systems for biomimetic underwater vehicles. Their most cited work, "A Human Machine Interaction Control System for Bionic Robotic Fish Based on Gesture Recognition" (2022), introduces a novel framework that leverages the MediaPipe hand-tracking pipeline to enable real-time, gesture-based swimming control for robotic fish. This contribution bridges the gap between complex robotic systems and accessible user interfaces, making bionic robotic fish more practical for educational and research applications. By eliminating the need for traditional controllers, Mu’s work enhances the naturalness and efficiency of human-robot collaboration in aquatic environments. While early in their career, with this paper accumulating 1 citation, the innovative integration of computer vision and biomimetic design positions Mu as an emerging voice in the field. Their research holds promise for expanding the use of bionic robots in STEM education, environmental monitoring, and interactive exhibits, where intuitive control is paramount.
Research Focus
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Top Papers
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