In-flight calibration data allows learning and decoupling of radiation patterns for two heterogeneous UAVs with accuracy at the level of measurement noise.
A critical review of communications in multi-robot systems
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An event-triggered consensus framework for heterogeneous robot swarms reduces communication overhead while preserving high task completion rates and resilience to failures in simulations.
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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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Event-Triggered Adaptive Consensus for Multi-Robot Task Allocation
An event-triggered consensus framework for heterogeneous robot swarms reduces communication overhead while preserving high task completion rates and resilience to failures in simulations.