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arXiv · 2110.01351

Towards Time-Optimal Tunnel-Following for Quadrotors

Jon Arrizabalaga·Markus Ryll
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Abstract

Minimum-time navigation within constrained and dynamic environments is of special relevance in robotics. Seeking time-optimality, while guaranteeing the integrity of time-varying spatial bounds, is an appealing trade-off for agile vehicles, such as quadrotors. State of the art approaches, either assume bounds to be static and generate time-optimal trajectories offline, or compromise time-optimality for constraint satisfaction. Leveraging nonlinear model predictive control and a path parametric reformulation of the quadrotor model, we present a real-time control that approximates time-optimal behavior and remains within dynamic corridors. The efficacy of the approach is evaluated according to simulated results, showing itself capable of performing extremely aggressive maneuvers as well as stop-and-go and backward motions.

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BibTeXRIS

Jon Arrizabalaga, Markus Ryll. 2021-10-04. Towards Time-Optimal Tunnel-Following for Quadrotors. https://doi.org/10.1109/icra46639.2022.9811764

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