On-board state estimation is a persistent challenge to fielding unmanned aerial systems (UAS),
particularly when global positioning system (GPS) measurements are not available. The …

Individual insects flying in crowded assemblies perform complex aerial maneuvers by
sensing and feeding back neighbor measurements to small changes in their wing motions. To …

Practical aerial swarm applications are limited by the need to provide fast, robust feedback.
To consider how biological agents incorporate visual feedback in multiagent environments, …

Flying social insects can provide model systems for in-flight interactions in computationally-constrained
aerial robot swarms. The social interactions in flying insects may be chemically …

Insects are model systems for swarming robotic agents, yet engineered descriptions do not
fully explain the mechanisms by which they provide onboard sensing and feedback to …

Aerial swarm implementations often underperform their feedback design goals due to sensor
noise, modeling errors, and external disturbances, each of which can often be mitigated by …

This paper presents “optimal identification,” a framework for using experimental data to
identify the optimality conditions associated with the feedback control law implemented in the …

Flying insects routinely demonstrate coordinated flight in crowded assemblies despite strict
communication and processing constraints. This study experimentally records multiple flying …

Previous work suggests that acoustic waves at frequencies below human hearing (infrasound)
are produced during tornadogenesis and continue through the life of a tornado, which …

The growing availability of low-cost commercial inertial measurement units (IMUs) raises
questions about how to best improve sensor estimates when using multiple IMUs. This paper …