A Study on Impact-Aware Aerial Robots Colliding with the Environment at Non-Vanishing Speed

Enabling aerial robots to handle dynamic contacts happening at non-vanishing speeds can enlarge the range of their applications. In this work, we propose an impactaware strategy to allow aerial multirotor robots to recover from impacts. The method leverages a reactive strategy not requiring low-level changes to the motion controller commonly implemented onboard quadrotors, which might be not viable or not desirable for most users. Extensive simulation tests show that the proposed strategy considerably increases the tolerated velocity at impact in tasks in which the robot either picks an object up or collides against an object to clear its way. Preliminary experimental results using Crazyflie UAVs are also presented.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icuas65942.2025.11007808
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

A Study on Impact-Aware Aerial Robots Colliding with the Environment at Non-Vanishing Speed

Antonio Franchi, Chiara Gabellieri, Alessandro Saccon, Gayatri Indukumar
Robotic Path Planning Algorithms
article

A Study on Impact-Aware Aerial Robots Colliding with the Environment at Non-Vanishing Speed

Antonio Franchi, Chiara Gabellieri, Alessandro Saccon, Gayatri Indukumar
article en

Abstract

Enabling aerial robots to handle dynamic contacts happening at non-vanishing speeds can enlarge the range of their applications. In this work, we propose an impactaware strategy to allow aerial multirotor robots to recover from impacts. The method leverages a reactive strategy not requiring low-level changes to the motion controller commonly implemented onboard quadrotors, which might be not viable or not desirable for most users. Extensive simulation tests show that the proposed strategy considerably increases the tolerated velocity at impact in tasks in which the robot either picks an object up or collides against an object to clear its way. Preliminary experimental results using Crazyflie UAVs are also presented.

Eindhoven University of Technology (NL), University of Twente (NL)
Openalex Percentile: Top 90%
Robotic Path Planning Algorithms
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