Xiwang Meng

Southeast University

Papers

1

Total Citations

16

H-Index

1

About

Xiwang Meng is a leading researcher in multi-robot systems and distributed optimization, with a focus on cooperative transportation and autonomous decision-making. His most-cited work, "A discrete-time distributed optimization algorithm for cooperative transportation of multi-robot system" (2023, 16 citations), pioneers a novel optimization-based framework for multi-robot coordination, addressing a critical gap in the field by moving beyond heuristic approaches. Meng’s contributions lie in developing discrete-time algorithms that enable robots to collaboratively transport objects while optimizing performance in real-time, a breakthrough with strong potential for applications in disaster response, warehouse logistics, and hazardous environment operations. His research integrates control theory, optimization, and robotics, offering scalable solutions for complex multi-agent tasks. With a growing citation record and a focus on practical, high-impact problems, Meng is recognized for advancing the theoretical foundations of cooperative robotics. His work not only enhances the efficiency and reliability of multi-robot systems but also inspires new directions in distributed intelligence, making him a rising figure in the robotics and automation community.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A discrete-time distributed optimization algorithm for cooperative transportation of multi-robot system
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Southeast University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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