446 research outputs found

    Integration of Autonomous UAVs into Multi-agent Simulation

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    In recent years, Unmanned Aerial Vehicles (UAVs) have attracted much attention both in the research field and in the field of commercial deployment. Researchers recently started to study problems and opportunities connected with the usage, deployment and operation of teams of multiple autonomous UAVs. These multi-UAV scenarios are by their nature well suited to be modelled and simulated as multi-agent systems. In this paper we present solutions to the problems that we had to deal with in the process of integrating two hardware UAVs into an existing multi-agent simulation system with additional virtual UAVs, resulting in a mixed reality system where hardware UAVs and virtual UAVs can co-exist, coordinate their flight and cooperate on common tasks. Hardware UAVs are capable of on-board planning and reasoning, and can cooperate and coordinate their movement with one another, and also with virtual UAVs

    Extreme non-linear response of ultra-narrow optical transitions in cavity QED for laser stabilization

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    We explore the potential of direct spectroscopy of ultra-narrow optical transitions of atoms localized in an optical cavity. In contrast to stabilization against a reference cavity, which is the approach currently used for the most highly stabilized lasers, stabilization against an atomic transition does not suffer from Brownian thermal noise. Spectroscopy of ultra-narrow optical transitions in a cavity operates in a very highly saturated regime in which non-linear effects such as bistability play an important role. From the universal behavior of the Jaynes-Cummings model with dissipation, we derive the fundamental limits for laser stabilization using direct spectroscopy of ultra-narrow atomic lines. We find that with current lattice clock experiments, laser linewidths of about 1 mHz can be achieved in principle, and the ultimate limitations of this technique are at the 1 μ\mu Hz level.Comment: 5 pages, 4 figure

    Integration of Autonomous UAVs into Multi-agent Simulation

    Get PDF
    In recent years, Unmanned Aerial Vehicles (UAVs) have attracted much attention both in the research field and in the field of commercial deployment. Researchers recently started to study problems and opportunities connected with the usage, deployment and operation of teams of multiple autonomous UAVs. These multi-UAV scenarios are by their nature well suited to be modelled and simulated as multi-agent systems. In this paper we present solutions to the problems that we had to deal with in the process of integrating two hardware UAVs into an existing multi-agent simulation system with additional virtual UAVs, resulting in a mixed reality system where hardware UAVs and virtual UAVs can co-exist, coordinate their flight and cooperate on common tasks. Hardware UAVs are capable of on-board planning and reasoning, and can cooperate and coordinate their movement with one another, and also with virtual UAVs
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