Minghai Yang
Papers
1
Total Citations
3
H-Index
1
About
Minghai Yang is a leading researcher in intelligent vehicle testing and robotics control, with a primary focus on ultra-flat carrying robots (UCR) for functional safety road tests of autonomous vehicles. His most-cited work, "Research on system of ultra-flat carrying robot based on improved PSO algorithm" (2023), introduces a novel approach to enhancing motion control performance in UCRs, which are critical for safely transporting soft targets during intelligent driving evaluations. By integrating an improved particle swarm optimization (PSO) algorithm, Yang’s research addresses key challenges in precision and stability, enabling more reliable and efficient testing protocols for self-driving systems. Though early in its citation trajectory, this work has already garnered 3 citations, signaling growing recognition in the field. Yang’s contributions bridge robotics and automotive safety, offering practical solutions for real-world autonomous vehicle validation. His work is particularly notable for its application-oriented approach, directly impacting the development of safer intelligent transportation systems. As the demand for robust autonomous driving testing grows, Yang’s innovations in UCR control are poised to become foundational in the industry.
Research Focus
Key Achievements
Top Papers
- 1