Papers
4
Total Citations
65
H-Index
3
About
Guangping Zeng is a researcher in multi-robot systems, focusing on task allocation, energy efficiency, and autonomous navigation. His most cited work, "Gini coefficient-based task allocation for multi-robot systems with limited energy resources" (52 citations), introduces a novel approach to distributing tasks among robots when energy is scarce, using the Gini coefficient to ensure fair and efficient resource use—critical for applications like rescue and exploration. This contribution addresses a key challenge in robotics: maintaining coalition performance under energy constraints. Zeng also advanced robot embedded systems with his 2016 paper on task coordination and resource contention, proposing a syncretic architecture to overcome system closure and poor dynamic evolution. Earlier, his research on substation patrol robots (2010) developed a visual navigation method using guideline recognition, enabling wheeled robots to autonomously inspect equipment in unattended substations. This work laid groundwork for practical industrial automation. With over 65 total citations, Zeng's contributions span theoretical frameworks and real-world robotic applications, demonstrating impact in both algorithmic fairness and autonomous systems.
Research Focus
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