Zeping Yu
Papers
1
Total Citations
23
H-Index
1
About
Zeping Yu is a researcher at the forefront of agricultural robotics and human-machine interaction, with a focus on developing intuitive, sensor-driven systems to address labor-intensive challenges in modern farming. His most cited work, "Gesture-Controlled Robotic Arm for Agricultural Harvesting Using a Data Glove with Bending Sensor and OptiTrack Systems" (2024), has already garnered 23 citations, reflecting its timely impact. In this study, Yu introduces a novel robotic arm that translates human hand gestures into precise harvesting actions, leveraging a data glove equipped with bending sensors and OptiTrack motion-capture technology. This innovation not only enhances operational efficiency but also reduces physical strain on workers, offering a user-friendly alternative to traditional manual harvesting. By bridging the gap between advanced robotics and practical agricultural needs, Yu’s contributions stand out for their potential to transform crop collection processes, making them more accessible and scalable. His work exemplifies a commitment to solving real-world problems through interdisciplinary engineering, positioning him as a rising voice in the field of smart agriculture and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1