In-flight calibration data allows learning and decoupling of radiation patterns for two heterogeneous UAVs with accuracy at the level of measurement noise.
In: 2023 International Conference on Unmanned Aircraft Systems, pp
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The paper proposes an STL-based optimization planner with uncertainty-aware risk analysis and event-triggered replanning for safe human-drone collaboration, demonstrated in simulations of an object handover task.
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Orientation Matters: Learning Radiation Patterns of Multi-Rotor UAVs In-Flight to Enhance Communication Availability Modeling
In-flight calibration data allows learning and decoupling of radiation patterns for two heterogeneous UAVs with accuracy at the level of measurement noise.
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STL-Based Motion Planning and Uncertainty-Aware Risk Analysis for Human-Robot Collaboration with a Multi-Rotor Aerial Vehicle
The paper proposes an STL-based optimization planner with uncertainty-aware risk analysis and event-triggered replanning for safe human-drone collaboration, demonstrated in simulations of an object handover task.