Ling‐Guo Meng
Papers
2
Total Citations
141
H-Index
2
About
Ling‐Guo Meng is a leading researcher at the intersection of advanced nanomaterials and intelligent multi-robot systems, with a focus on energy storage and autonomous task allocation. Their most impactful work includes the development of super-stretchable, high-energy micro-pseudocapacitors based on MXene embedded with silver nanoparticles—a breakthrough that addresses the critical limitations of conventional micro-supercapacitors, such as low capacity and slopy voltage profiles. This innovation, published in 2024 and already cited 89 times, holds transformative potential for wearable electronics, micro-robotics, and sensors. In parallel, Meng has made significant contributions to multi-robot systems, notably proposing a Gini coefficient-based task allocation method for robots with limited energy resources. This 2017 paper, with 52 citations, offers a fair and efficient solution for deploying robot coalitions in hazardous environments like rescue and exploration, where energy constraints are paramount. By bridging materials science and robotics, Meng’s work demonstrates a rare ability to solve fundamental challenges across disciplines, earning recognition for both technical novelty and practical impact. Their research continues to inspire advances in sustainable, high-performance systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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