Haonan Hao
Papers
1
Total Citations
1
H-Index
1
About
Dr. Haonan Hao is a rising researcher in the field of robotics and control systems, with a primary focus on advanced visual servoing techniques. His work centers on addressing critical challenges in image-based visual servoing (IBVS), particularly the loss of visual features during high-speed robotic operations due to limited camera field of view. In his most notable contribution, "Fixed-Time Image-Based Visual Servoing With Prescribed Performance" (2025), Dr. Hao proposes a robust framework that ensures both fixed-time convergence and prescribed transient performance, significantly enhancing the reliability and speed of vision-guided robotic manipulation. This work introduces a novel performance function to maintain feature visibility, marking a substantial advancement in the field. While his citation count is currently emerging, the innovative nature of his approach positions him as a promising contributor to automation and autonomous systems. Dr. Hao’s research bridges theoretical control design with practical robotic applications, offering solutions that improve the safety and efficiency of real-time visual servoing in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Fixed-Time Image-Based Visual Servoing With Prescribed Performance1 citations · 2025