Tong Feng

Harbin Institute of Technology, Southeast University

Papers

Total Citations

H-Index

About

Tong Feng is a robotics and computer vision researcher whose work bridges real-time 3D perception, sensor fusion, and intelligent automation. His most impactful contribution is a real-time dense 3D reconstruction model that integrates deep multiview stereo with camera and IMU sensors, achieving metric-scale accuracy—a critical advance for autonomous navigation and robotic manipulation. This work, published in 2023, has already garnered 17 citations, reflecting its immediate relevance to the field. Feng also developed a novel absolute magnetic encoder designed for compact, robust position sensing in specialized motors used in robotics and aerospace, addressing the limitations of traditional photoelectric and magnetic encoders; this 2021 paper has earned 15 citations. Earlier in his career, he contributed to the development of China’s first unmanned firefighting robot, designing an ultrasonic obstacle avoidance system that enabled safe autonomous navigation in hazardous environments. This pioneering work, cited 8 times, demonstrates his long-standing commitment to applying perception and control to life-saving technologies. Feng’s research consistently tackles practical challenges in real-time perception and actuation, making him a notable figure in the advancement of intelligent robotic systems.