Xiwang Meng
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
Top Papers
- 1