Chunyang Yu
Papers
2
Total Citations
12
H-Index
1
About
Chunyang Yu is a rising researcher at the intersection of intelligent manufacturing and advanced optical systems. His primary research areas include human-robot collaboration, digital twin technology, and MEMS-based LiDAR systems. Yu’s most impactful contribution is a dynamic task allocation framework for human-robot collaborative assembly, published in 2025, which integrates digital twins with an improved genetic algorithm and tabu search (IGA-TS). This work, already garnering 11 citations, addresses critical challenges in adaptive manufacturing by enabling real-time, optimized task distribution between human workers and robotic systems. In parallel, Yu has advanced optical engineering through the design of a transmitting optical system for large-angle MEMS LiDAR, achieving high spatial resolution crucial for autonomous driving, robot navigation, and drone obstacle avoidance. His work on MEMS LiDAR demonstrates a keen understanding of how miniaturized scanning technologies can enhance perception in autonomous systems. Though early in his career, Yu’s dual focus on intelligent manufacturing algorithms and precision optical design positions him as a versatile contributor to Industry 4.0, with his recent publications signaling strong potential for future impact in both collaborative robotics and autonomous sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 2