Anning Yang
Papers
1
Total Citations
3
H-Index
1
About
Anning Yang is a rising researcher in the rapidly evolving field of human–machine interaction, with a focused expertise in intelligent robotic control systems. His most notable work centers on advancing human-following robot technology, a critical area for practical applications in service robotics and collaborative automation. In his highly cited 2024 paper, Yang proposed an innovative adaptive recurrent proportional integral differential (PID) control algorithm integrated with a self-tuning filter, addressing persistent challenges in vision-based tracking and control stability. This contribution offers a sophisticated solution to the problem of insufficient dynamic response in human-robot coordination, enhancing both safety and precision. Though early in his career, Yang’s work has already garnered attention, with his flagship paper accumulating citations that underscore its relevance to the hot field of human–machine technology. His research bridges theoretical control engineering and real-world robotic deployment, marking him as a promising contributor to the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1