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Main Research InterestsThe main focus of my research is designing innovative tools for robotics. ARGoS: Simulating Large Heterogeneous Swarms of RobotsI designed and developed ARGoS ("Autonomous Robots Go Swarming"), a state-of-the-art multi-robot multi-engine simulator. ARGoS is designed to be both scalable and flexible. It can simulate thousands of robots in real-time on an average computer. Its architecture is multi-threaded and completely modular. Among its unique features, in ARGoS it is possible to partition the virtual space in regions managed by different physics engines running in parallel. ARGoS is open source software and can be downloaded here. ![]() Boolean Networks RoboticsI am cooperating in the development of boolean networks robotics, whose aim is studying how to use boolean networks as robot control code. The following video shows a behavior in which a robot performs phototaxis and switches to antiphototaxis as soon at it senses a hand-clap. This work is part of a Master thesis I co-advised and that won the 2011 AI*IA award (best thesis on artificial intelligence in Italy). Projects
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