Haopeng Lu

Papers

Total Citations

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About

Haopeng Lu is a researcher advancing the intersection of computer vision and robotics, with a primary focus on 3D human hand pose estimation and its application to teleoperation. His work addresses the critical challenge of enabling intuitive, real-time control of robotic systems by accurately interpreting human hand movements from visual data, particularly using low-cost depth cameras. Lu's most cited paper, "Applying 3D Human Hand Pose Estimation to Teleoperation" (2023), bridges the gap between state-of-the-art vision algorithms and practical robotic control, offering a pathway toward more natural human-robot interaction. While his citation count is currently modest, his research is positioned at a rapidly growing frontier where immersive teleoperation and dexterous manipulation are becoming increasingly vital. By focusing on unified evaluation criteria and real-world deployment, Lu contributes to making robotic teleoperation more accessible and effective, with potential impacts in remote surgery, hazardous environment exploration, and assistive technologies. His work reflects a commitment to translating foundational computer vision research into tangible engineering solutions.