Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning
A Alwalan, M Arana-Catania - arxiv preprint arxiv:2407.01154, 2024 - arxiv.org
In this work we demonstrate the possibility of estimating the wind environment of a UAV
without specialised sensors, using only the UAV's trajectory, applying a causal machine …
without specialised sensors, using only the UAV's trajectory, applying a causal machine …
A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers
This paper discusses an approach to inertial parameter estimation for the case of cargo
carrying spacecraft that is based on causal learning, ie learning from the responses of the …
carrying spacecraft that is based on causal learning, ie learning from the responses of the …
Spacecraft inertial parameters estimation using time series clustering and reinforcement learning
K Platanitis, M Arana-Catania, L Capicchiano… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper presents a machine learning approach to estimate the inertial parameters of a
spacecraft in cases when those change during operations, eg multiple deployments of …
spacecraft in cases when those change during operations, eg multiple deployments of …