Nikolaos Bousias
Papers
1
Total Citations
38
H-Index
1
About
Nikolaos Bousias is a leading researcher in multi-robot systems, with a focus on active information acquisition (AIA) and graph neural networks (GNNs). His most-cited work, "Graph Neural Networks for Multi-Robot Active Information Acquisition" (2023, 38 citations), tackles the challenge of coordinating robot teams to estimate hidden states—such as in target tracking, coverage, and SLAM—while communicating over a graph. Bousias’s key contribution lies in integrating GNNs to enable decentralized, scalable decision-making, allowing robots to dynamically adapt their sensing and movement to maximize information gain. This approach bridges the gap between theoretical AIA and practical deployment, offering a robust framework for real-world applications like environmental monitoring and search-and-rescue. His work has garnered attention for its innovative fusion of machine learning and robotics, with citations reflecting its impact on advancing autonomous systems. Bousias continues to push boundaries in multi-agent coordination, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Graph Neural Networks for Multi-Robot Active Information Acquisition38 citations · 2023