Spy app is a class of malware for mobile devices that allows an adversary to steal sensitive information. Detecting spy apps is challenging because they do not rely on classic malware techniques, for instance, they use standard services to store stolen data, and do not perform privileges escalation...
04b Atto di convegno in volume
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In this work, we compare the performance of range-free localization algorithms either radius-based or radius-free that use a mobile anchor (rover or drone). All the compared algorithms are based on the so called heard/not-heard method. Despite its simplicity, the localization accuracy of the heard/...
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Fleets of Marine Autonomous Systems are increasingly utilised for ocean surveying and monitoring, since they provide both spatial and temporal coverage at a significantly lower cost than conventional methods. Facilitating this mode of operation requires further developments in the field of...
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With the fast development of offshore wind farms as renewable energy sources, maintaining them efficiently and safely becomes necessary. The high costs of operation and maintenance (O&M) are due to the length of turbine downtime and the logistics for human technician transfer. To reduce such...
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Local search algorithms are well-known methods for solving large, hard instances of the satisfiability problem (SAT). The performance of these algorithms crucially depends on heuristics for setting noise parameters and scoring variables. The optimal setting for these heuristics varies for different...
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In tackling the multi-agent pathfinding problem (MAPF), we study a specific class of paths that are constructed by taking the agents' shortest paths from the start to the goal locations and adding safe delays at the beginning of the paths, which guarantee that they are non-conflicting. Safe delays...
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In this paper, we define goal legibility in a multi-agent path-finding setting. We consider a set of identical agents moving in an environment and tasked with reaching a set of locations that need to be serviced. An observer monitors their movements from a distance to identify their destinations as...
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Lattice structures allow robotic systems to operate in complex and hazardous environments, e.g. construction, mining and nuclear plants, reliably and effectively. However, current navigation systems for these structures are neither realistic, as they assume simplistic motion primitives and obstacle...
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In this paper, we offer a novel AI planning representation, based on a Cartesian coordinate system, for enabling the autonomous operations of Multi-Robot Systems in 3D environments. Each robot in the system has to conform to unique actuation and connection constraints that create a complex set of...
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We introduce vPlanSim, an open source tool to aid in AI PDDL development. This tool is primarily aimed at researchers and developers who need a visual representation of their planning problem so that they can make useful insights into the performance of their system, and also to naturally convey...