Urban winds are complex spatial and temporal fields that pose a critical barrier for autonomous urban aircraft operations. We present a way to predict surrounding wind patterns in real time relying on onboard sensors. Urban winds introduce risky and inefficient routes for aircraft. We formulate a receding horizon planner exploiting local wind information to find routes through these complex flow conditions, in real time, that are safe and efficient. We are developing a novel laboratory environment to study autonomous urban aerial operations with a particular emphasis on understanding how wind affects autonomous flight in the urban canopy layer. The facility features a 40x70x14-ft motion capture space with a free flight wind tunnel with 1134 programmable fans for spatio-temporal flow field generation. Planned experiments will attempt to validate concepts above using real world winds and identify critical gaps between simulation and reality.


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    Titel :

    Real-Time Safe and Efficient Navigation in Windy Urban Environments


    Beteiligte:
    Spencer Folk (Autor:in) / John Melton (Autor:in) / Benjamin Margolis (Autor:in) / Mark Yim (Autor:in) / Vijay Kumar (Autor:in)

    Kongress:

    International Conference on Robotics and Automation (ICRA) ; 2025 ; Atlanta, GA, US


    Erscheinungsdatum :

    20.05.2025


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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