Chenghong Lu

Papers

Total Citations

H-Index

About

Chenghong Lu is a researcher at the forefront of human-robot interaction and precision agriculture, specializing in gesture-based control systems and wearable sensing technologies. His most impactful contribution is the development of a gesture-controlled robotic arm for agricultural harvesting, detailed in his 2024 paper, which has already garnered 23 citations. This work integrates a data glove with bending sensors and OptiTrack motion capture systems to create an intuitive, efficient solution for labor-intensive fruit picking, addressing critical challenges in modern farming. Lu’s earlier foundational research on hand motion capture using multiple inertial sensors (2020) laid the groundwork for high-accuracy, unobtrusive human-computer interaction, with applications spanning robotics, rehabilitation, and virtual reality. By combining sensor fusion with real-time control, Lu has advanced the practicality of wearable systems for both industrial and assistive technologies. His work demonstrates a clear trajectory from fundamental motion capture to applied agricultural robotics, earning recognition for its potential to reduce manual labor and enhance productivity. With a growing citation impact and a focus on bridging human intent with machine action, Chenghong Lu is a rising voice in the fields of mechatronics, precision agriculture, and intuitive human-machine interfaces.