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Found 6 papers, 5 papers with code
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
This study presents the GP-MPPI, an online learning-based control strategy that integrates MPPI with a local perception model based on Sparse Gaussian Process (SGP).
Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
Due to the advantages of the DC distribution system such as easy integration of energy storage and less system loss, DC MG attracts significant attention nowadays.
An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter
The case study herein is based on a four-level three-cell flying capacitor inverter.
A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter
Then, once the neural network is fine-tuned, it can be successfully used online for voltage tracking purpose, without the need of using MPC.
A 2D laser rangefinder scans dataset of standard EUR pallets
The data have been manually labelled and are provided in different formats.
Detection, localisation and tracking of pallets using machine learning techniques and 2D range data
The problem of autonomous transportation in industrial scenarios is receiving a renewed interest due to the way it can revolutionise internal logistics, especially in unstructured environments.
