Search Results - "Wuest, Valentin"

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  1. 1

    Aggressive Flight With Suspended Payloads Using Vision-Based Control by Tang, Sarah, Wuest, Valentin, Kumar, Vijay

    Published in IEEE robotics and automation letters (01-04-2018)
    “…Payload manipulation with aerial robots has been an active research area for many years. Recent approaches have sought to plan, control, and execute maneuvers…”
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    Journal Article
  2. 2

    Agile perching maneuvers in birds and morphing-wing drones by Wüest, Valentin, Jeger, Simon, Feroskhan, Mir, Ajanic, Enrico, Bergonti, Fabio, Floreano, Dario

    Published in Nature communications (27-09-2024)
    “…Avian perching maneuvers are one of the most frequent and agile flight scenarios, where highly optimized flight trajectories, produced by rapid wing and tail…”
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    Journal Article
  3. 3

    VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments by Minoda, Koji, Schilling, Fabian, Wuest, Valentin, Floreano, Dario, Yairi, Takehisa

    Published in IEEE robotics and automation letters (01-04-2021)
    “…Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms. Existing datasets typically fail to…”
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    Journal Article
  4. 4

    Accurate Vision-based Flight with Fixed-Wing Drones by Wuest, Valentin, Ajanic, Enrico, Muller, Matthias, Floreano, Dario

    “…Fixed-wing drones must navigate to the desired location accurately for maneuvers such as picking up objects and perching. However, current GNSS receivers limit…”
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    Conference Proceeding
  5. 5

    Online Estimation of Geometric and Inertia Parameters for Multirotor Aerial Vehicles by Wuest, Valentin, Kumar, Vijay, Loianno, Giuseppe

    “…Accurate knowledge of geometric and inertia parameters are a necessity for precise and robust control of aerial vehicles. We propose a novel filter that is…”
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    Conference Proceeding
  6. 6

    Training Efficient Controllers via Analytic Policy Gradient by Wiedemann, Nina, Wuest, Valentin, Loquercio, Antonio, Muller, Matthias, Floreano, Dario, Scaramuzza, Davide

    “…Control design for robotic systems is complex and often requires solving an optimization to follow a trajectory accurately. Online optimization approaches like…”
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    Conference Proceeding
  7. 7

    Co-Design Optimisation of Morphing Topology and Control of Winged Drones by Bergonti, Fabio, Nava, Gabriele, Wuest, Valentin, Paolino, Antonello, L'Erario, Giuseppe, Pucci, Daniele, Floreano, Dario

    “…The design and control of winged aircraft and drones is an iterative process aimed at identifying a compromise of mission-specific costs and constraints. When…”
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    Conference Proceeding
  8. 8

    Sharp turning maneuvers with avian-inspired wing and tail morphing by Ajanic, Enrico, Feroskhan, Mir, Wüest, Valentin, Floreano, Dario

    Published in Communications engineering (24-11-2022)
    “…Flight in dense environments, such as forests and cities requires drones to perform sharp turns. Although fixed-wing drones are aerodynamically and…”
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    Journal Article
  9. 9

    Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-informed drones by Jeger, Simon L, Wüest, Valentin, Toumieh, Charbel, Floreano, Dario

    Published 13-03-2024
    “…Avian-informed drones feature morphing wing and tail surfaces, enhancing agility and adaptability in flight. Despite their large potential, realising their…”
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    Journal Article
  10. 10

    Co-Design Optimisation of Morphing Topology and Control of Winged Drones by Bergonti, Fabio, Nava, Gabriele, Wüest, Valentin, Paolino, Antonello, L'Erario, Giuseppe, Pucci, Daniele, Floreano, Dario

    Published 10-10-2024
    “…2024 International Conference on Robotics and Automation (ICRA) The design and control of winged aircraft and drones is an iterative process aimed at…”
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    Journal Article
  11. 11

    VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments by Minoda, Koji, Schilling, Fabian, Wüest, Valentin, Floreano, Dario, Yairi, Takehisa

    Published 11-02-2021
    “…Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms. Existing datasets typically fail to…”
    Get full text
    Journal Article
  12. 12

    Training Efficient Controllers via Analytic Policy Gradient by Wiedemann, Nina, Wüest, Valentin, Loquercio, Antonio, Müller, Matthias, Floreano, Dario, Scaramuzza, Davide

    Published 26-09-2022
    “…IEEE Conference on Robotics and Automation (ICRA 2023) Control design for robotic systems is complex and often requires solving an optimization to follow a…”
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    Journal Article