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Reynolds flocking in reality with fixed-wing robots: Communication range vs. maximum turning rate
This work focuses on deploying a swarm of small fixed-wing flying robots that are required to maintain forward motion to avoid stalling and typically adopt low turn rates because of physical or energy constraints. Expand
Extending the Evolutionary Robotics approach to flying machines: An application to MAV teams
The work presented in this article focuses on the use of embodied neural networks--developed through Evolutionary Robotics and Multi-Agent Systems methodologies--as autonomous distributed controllersExpand
Using social media in crisis management: SOTERIA fusion center for managing information gaps
This work describes some specific types of information gaps due first to imprecise or unreliable information and second to information overload and proposes a set of tools aiming at reducing these information gaps and supporting the human operators in the social media generated information during crisis and emergency management. Expand
Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers
The computer model built aims to demonstrate how autonomous controllers for groups of flying robots can be successfully developed through simulations based on multi-agent systems and evolutionary robotics methodologies. Expand
The strategic level and the tactical level of behaviour
AQ1 We introduce the distinction between a strategic (or motivational) level of behaviour, where different motivations compete with each other for the control of the behaviour of the organism, and aExpand
IT-induced cognitive biases in intelligence analysis: big data analytics and serious games
Cognitive biases are unconscious deviations in judgement rooted in the very nature of the human mind – that represent a common source of failure in intelligence analysis. This article investigatesExpand
Distributed control in Multi-Agent Systems: A preliminary model of autonomous MAV swarms
The preliminary results presented here demonstrate how the adaptive evolutionary approach can be successfully employed to develop controllers of this kind, and how MAV swarms evolved in this way are in fact able to reach and hit the target, navigating through an obstacle-full environment. Expand
Towards a Bio-inspired Cognitive Architecture for Short-Term Memory in Humanoid Robots
Short-Term Memory is a crucial weapon in humans’ cognitive arsenal as it allows them to avoid a purely sensory-motor existence and to investigate how to provide a robot with such feature in a simple and biologically-inspired fashion. Expand