Yuzhe Huang
Papers
3
Total Citations
60
H-Index
2
About
Yuzhe Huang is a rising researcher at the intersection of manufacturing optimization and robotic manipulation. His primary research areas include assembly line balancing, human-robot collaboration, and dexterous robotic manipulation with tactile feedback. Huang’s major contributions lie in developing advanced multi-objective optimization algorithms for complex manufacturing systems. His 2023 paper on solving human-robot collaborative mixed-model two-sided assembly line balancing using a multi-objective discrete artificial bee colony algorithm has garnered 34 citations, establishing a foundational approach for integrating human and robotic workers in flexible assembly environments. Building on this, his 2024 work introduced a multi-objective simulated annealing algorithm that accounts for setup times and multiple constraints in robotic mixed-model assembly, earning 24 citations and further advancing practical manufacturing solutions. Most recently, Huang has ventured into tactile robotics with his 2025 paper on PP-Tac, which demonstrates paper picking using omnidirectional tactile feedback in dexterous robotic hands—a novel contribution to fine manipulation tasks. This work, though early in its citation lifecycle, signals his expanding impact from production systems to sensor-rich robotic control. Huang’s research uniquely bridges theoretical optimization and real-world robotic applications, making him a promising voice in smart manufacturing and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3