Yoeri Brouwer
Papers
1
Total Citations
12
H-Index
1
About
Yoeri Brouwer is a researcher at the forefront of autonomous robotic systems for environmental monitoring, with a primary focus on radiological surveys and path planning. His most-cited work, "Informative path planner with exploration–exploitation trade-off for radiological surveys in non-convex scenarios" (2020), has garnered 12 citations and represents a significant contribution to the field of informative path planning. Brouwer’s key research areas include robotics, sensor fusion, and decision-making under uncertainty, where he develops algorithms that enable robots to efficiently map radiation fields in complex, non-convex environments. His major contribution lies in designing a planner that balances exploration of unknown areas with exploitation of known information, optimizing data collection while minimizing time and risk. This work has practical implications for nuclear decommissioning, disaster response, and environmental safety. Brouwer’s approach addresses real-world challenges, such as obstacles and irregular terrain, making his methods highly applicable. His research demonstrates a clear impact on advancing autonomous systems for hazardous environments, and his innovative trade-off strategy has influenced subsequent work in adaptive sampling and robotic exploration.
Research Focus
Key Achievements
Top Papers
- 1