Mengao Dong

Shanghai University

Papers

1

Total Citations

6

H-Index

1

About

Mengao Dong is a researcher advancing the field of human-robot collaboration, with a primary focus on optimizing task allocation in manufacturing environments. Their most-cited work, "Evaluation of Human-Robot Collaborative Assembly Task Allocation Plan" (2021), has garnered 6 citations, establishing a foundation for understanding how to balance efficiency and safety when humans and robots work side by side. Dong’s key contributions lie in developing evaluation frameworks that assess the effectiveness of task distribution strategies, addressing critical challenges in industrial automation such as workload balancing, error reduction, and adaptive planning. This research is particularly impactful for engineers and designers seeking to implement collaborative robots in assembly lines, where seamless coordination between human dexterity and robotic precision is essential. By providing quantitative metrics for comparing allocation plans, Dong’s work helps bridge the gap between theoretical models and practical applications. Their studies offer valuable insights into the design of intelligent systems that enhance productivity while maintaining human-centric workflows. As the demand for flexible manufacturing grows, Dong’s contributions continue to inform the development of safer, more efficient human-robot teams.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Human-Robot Collaborative Assembly Task Allocation Plan
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Shanghai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago