Theoretical methods are commonly used in swarm robotics research to abstractly explain robotic systems. The OBLOT method, which describes robots as simple systems, all identical, without memory, and unable to interact with one another, is a common theoretical model in robotics research. MOBLOT, an extension of the OBLOT model that can be implemented to a broader variety of swarm robotics systems, was recently developed by researchers at the University of L'Aquila and the University of Perugia in Italy. The ways in which atoms naturally organize themselves to shape matter inspired this new model, which was presented at the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021). According to the report, "MOBLOT is a new model in the context of theoretical swarm robotics," Alfredo Navarra, one of the researchers who carried out the study, told TechXplore.