Research Update — Swarm Algorithms

Building on the progress of recent months, our research has now entered an advanced phase focused on consolidating and refining distributed coordination algorithms. Large-scale simulations have shown significant improvements in energy efficiency and the resilience of collective behavior, even under adverse conditions. The integration of adaptive strategies is enabling real-time swarm reorganization in response to obstacles or partial failures, bringing us closer to a truly autonomous and robust system.

In parallel, we have been evaluating the performance of our models in physical environments with multiple real drones, validating key parameters identified in simulation. This experimental phase has been essential for tuning algorithm sensitivity to communication latency and onboard sensor limitations. We remain committed to publishing our results and sharing insights with the scientific and technological community, with a continued focus on practical and scalable applications.

As we move forward, we aim to bridge the gap between simulation and real-world deployment, ensuring that our swarm technology is ready for the challenges ahead.