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Found 6 papers, 0 papers with code
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors
Sub-\SI{50}{\gram} nano-drones are gaining momentum in both academia and industry.
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones
Palm-sized nano-drones are an appealing class of edge nodes, but their limited computational resources prevent running large deep-learning models onboard.
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors
Precise relative localization is a crucial functional block for swarm robotics.
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
In this work, we leverage a novel neural architecture search (NAS) technique to automatically identify several Pareto-optimal convolutional neural networks (CNNs) for a visual pose estimation task.
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synthetic background substitution to learn a lightweight CNN model from a small real-world training set.
Learning Relative Interactions through Imitation
In this project we trained a neural network to perform specific interactions between a robot and objects in the environment, through imitation learning.
