Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles

Abstract This paper presents a technique to model the residual dynamics between a high-level planner and a low-level controller by considering reference trajectory tracking in a cluttered environment as an example scenario. We focus on minimising residual dynamics that arise due to only the kinemati...

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Bibliographic Details
Main Authors: Geesara Kulathunga, Hany Hamed, Alexandr Klimchik
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-51822-0