Shuohan Yang
Papers
1
Total Citations
2
H-Index
1
About
Shuohan Yang is a robotics researcher whose work focuses on the optimization of multi-arm robotic systems for industrial applications. Their primary research areas include trajectory planning, multi-objective optimization, and energy-efficient robotic control. Yang’s most notable contribution is the development of a novel approach using the NSGA-II algorithm to simultaneously optimize time, energy consumption, and joint impact in dual-arm robots mounted on plates—addressing critical challenges in manufacturing efficiency and system longevity. This work, published in 2023, has already garnered early citations, signaling its relevance to the field. By tackling the trade-offs between speed, wear, and power use, Yang’s research offers practical solutions for reducing operational costs and extending robot lifespan in automated environments. Their findings are particularly valuable for industries relying on collaborative robots, where precision and durability are paramount. As a rising scholar, Yang’s integration of evolutionary algorithms into robotics optimization marks a promising step toward smarter, more sustainable automation.
Research Focus
Key Achievements
Top Papers
- 1