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Showing 1–9 of 9 results
Advanced filters: Author: G. C. H. E. de Croon Clear advanced filters

  • Myotonic dystrophy type 2 is characterized by large CCUG repeats in the CNBP gene that result in myopathy. Here, the authors show that recognition of aberrant protein translation derived from these repeats leads to ER stress and mitochondrial DNA release, leading to cGAS/STING activation and type-I IFN responses.

    • Sarah Rösing
    • Fabian Ullrich
    • Claudia Günther
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15

  • Autonomous flight is challenging for small flying robots, given the limited space for sensors and on-board processing capabilities, but a promising approach is to mimic optical-flow-based strategies of flying insects. A new development improves this technique, enabling smoother landings and better obstacle avoidance, by giving robots the ability to learn to estimate distances to objects by their visual appearance.

    • G. C. H. E. de Croon
    • C. De Wagter
    • T. Seidl
    Research
    Nature Machine Intelligence
    Volume: 3, P: 33-41

  • Brain-inspired neuromorphic algorithms and systems have shown essential advance in efficiency and capabilities of AI applications. In this Perspective, the authors introduce NeuroBench, a benchmark framework for neuromorphic approaches, collaboratively designed by researchers across industry and academia.

    • Jason Yik
    • Korneel Van den Berghe
    • Vijay Janapa Reddi
    ReviewsOpen Access
    Nature Communications
    Volume: 16, P: 1-24

  • Attitude can be extracted from optic flow when combined with a motion model that relates attitude to acceleration direction, which leads to stable flight attitude control with slight oscillations due to unobservable conditions.

    • Guido C. H. E. de Croon
    • Julien J. G. Dupeyroux
    • Franck Ruffier
    ResearchOpen Access
    Nature
    Volume: 610, P: 485-490

  • An autonomous drone has competed against human drone-racing champions — and won. The victory can be attributed to savvy engineering and a type of artificial intelligence that learns mostly through trial and error.

    • Guido C. H. E. de Croon
    News & Views
    Nature
    Volume: 620, P: 952-954

  • In the AlphaPilot Challenge, teams compete to fly autonomous drones through an obstacle course as fast as possible. The 2019 winning team MAVLab reflects on the challenge of beating human pilots.

    • C. De Wagter
    • F. Paredes-Vallés
    • G. de Croon
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 3, P: 923