Yiqun Fu

University of Science and Technology of China, Shenzhen Institute of Information Technology

Papers

Total Citations

H-Index

About

Yiqun Fu is a robotics researcher whose work centers on human-robot interaction, mobile robot navigation, and real-time obstacle avoidance. His most impactful contribution is the development of a real-time human imitation system using the Kinect sensor, a paper that has garnered 51 citations and demonstrates his ability to create intuitive interfaces between humans and machines. Fu has also made significant strides in path planning, proposing a novel local path planning method that uniquely integrates both robot posture and path smoothness—three optimizing targets that address a critical gap in mobile robot navigation. Additionally, his work on real-time obstacle avoidance using 3-D point clouds, though with 6 citations, showcases his innovative approach to building 3D environments through point cloud registration for intelligent surveillance robots. Fu’s research is characterized by a practical focus on enabling robots to navigate complex, dynamic environments safely and efficiently. His contributions are particularly valuable for students and researchers interested in the intersection of computer vision, control systems, and autonomous navigation, offering foundational methods that enhance both the safety and fluidity of robotic movement.