Yizhang Zhao
Papers
4
Total Citations
79
H-Index
3
About
Dr. Yizhang Zhao is a leading researcher in robotics and automation, with a primary focus on visual servoing, model predictive control, and 3D reconstruction. His most impactful contribution is the development of a quasi-min-max model predictive control framework for image-based visual servoing, which uses tensor product model transformation to handle the nonlinearities of image Jacobian matrices—a work that has garnered 48 citations and set a benchmark in the field. Dr. Zhao also pioneered a laser scanner technique for 3D reconstruction of wound edges and topology, advancing medical robotics with practical applications in wound assessment. His research extends to large-scale manufacturing, where he designed a multiple-camera, multiple-target-point visual servoing system to correct robot end-effector poses in 6-DOF systems, and to neural network-based image moments for planar object servoing, enhancing feature selection in IBVS. With a career spanning over a decade, Dr. Zhao’s work bridges theoretical control methods and real-world robotic systems, making him a key figure in intelligent automation and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Laser scanner for 3D reconstruction of a wound’s edge and topology22 citations · 2021
- 3
- 4Neural network-based image moments for visual servoing of planar objects3 citations · 2012