Marco Trabattoni

Papers

Total Citations

H-Index

About

Marco Trabattoni is a researcher in swarm robotics and autonomous systems, with a focus on experimental platforms and control strategies for multi-robot teams. His work centers on designing scalable environments and algorithms that enable swarms to coordinate effectively in real-world tasks, such as resource selection and environmental monitoring. Trabattoni’s most notable contribution is the development of the **Kilogrid**, a novel experimental environment for the Kilobot robot (2018, 50 citations), which provides a versatile, low-cost platform for studying swarm behaviors under controlled conditions. This work has become a foundational tool for researchers exploring collective robotics. He has also advanced hybrid control methods for swarm resource selection (2018, 7 citations) and pioneered a **Next-Best-Smell approach** for remote gas detection using mobile robots (2018, 4 citations), addressing critical applications like industrial leak detection and landfill monitoring. By reducing human exposure to hazardous environments, his gas detection work highlights the practical impact of autonomous systems. Trabattoni’s research bridges theory and experimentation, offering robust solutions for deploying swarms in dynamic, real-world scenarios.