Chuang Meng

Zhengzhou University

Papers

3

Total Citations

53

H-Index

3

About

Chuang Meng is a researcher specializing in multi-robot systems, intelligent manufacturing, and combinatorial optimization, with a particular focus on the intersection of robotics and operations research. His work addresses some of the most pressing challenges in modern automated manufacturing environments, where coordinating multiple robots efficiently and safely is critical to industrial productivity. Meng's most significant contributions center on collision-free routing for multi-robot stations. His foundational 2019 work introduced time-space network modeling as a powerful framework for coordinating robot movements, a methodology he substantially advanced in his highly cited 2020 paper (40 citations), which formalized the collision-free routing problem and developed optimization approaches targeting cycle time minimization for end-effector operations in shared workspaces. This work has become a key reference in the multi-robot coordination literature. Building on this foundation, Meng expanded his research scope to address energy efficiency, recognizing that real-world manufacturing demands trade-offs between speed and sustainability. His 2022 paper introduced a flexible time-space network approach that simultaneously optimizes cycle time and energy consumption — a meaningful methodological advance over prior single-objective formulations. Collectively, Meng's publications have garnered over 50 citations, reflecting growing recognition of his contributions among researchers working on robotic manufacturing systems, scheduling, and autonomous coordination.

Research Focus

Key Achievements

3
H-Index
3
Papers
53
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A Time-Space Network Model for Collision-Free Routing of Planar Motions in a Multirobot Station
40 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Zhengzhou University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago