Search Results - "Nava, Mirko"

Learning Long-Range Perception Using Self-Supervision From Short-Range Sensors and Odometry by Nava, Mirko, Guzzi, Jerome, Chavez-Garcia, R. Omar, Gambardella, Luca M., Giusti, Alessandro

“…We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of…”
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Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics by Cereda, Elia, Bonato, Stefano, Nava, Mirko, Giusti, Alessandro, Palossi, Daniele

“…Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic maneuvers…”
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Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task by Nava, Mirko, Carlotti, Nicholas, Crupi, Luca, Palossi, Daniele, Giusti, Alessandro

“…We propose a novel self-supervised approach for learning to visually localize robots equipped with controllable LEDs. We rely on a few training samples labeled…”
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On the benefits of domain adaptation techniques for quality of transmission estimation in optical networks by Rottondi, Cristina, di Marino, Riccardo, Nava, Mirko, Giusti, Alessandro, Bianco, Andrea

“…Machine learning (ML) is increasingly applied in optical network management, especially in cross-layer frameworks where physical layer characteristics may…”
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State-Consistency Loss for Learning Spatial Perception Tasks From Partial Labels by Nava, Mirko, Gambardella, Luca Maria, Giusti, Alessandro

“…When learning models for real-world robot spatial perception tasks, one might have access only to partial labels: this occurs for example in semi-supervised…”
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Visual Servoing with Geometrically Interpretable Neural Perception by Paolillo, Antonio, Nava, Mirko, Piga, Dario, Giusti, Alessandro

“…An increasing number of nonspecialist robotic users demand easy-to-use machines. In the context of visual servoing, the removal of explicit image processing is…”
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Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks by Nava, Mirko, Paolillo, Antonio, Guzzi, Jerome, Gambardella, Luca Maria, Giusti, Alessandro

“…We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from…”
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Learning Visual Localization of a Quadrotor Using Its Noise as Self-Supervision by Nava, Mirko, Paolillo, Antonio, Guzzi, Jerome, Gambardella, Luca Maria, Giusti, Alessandro

“…We introduce an approach to train neural network models for visual object localization using a small training set, labeled with ground truth object positions…”
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Path Planning With Local Motion Estimations by Guzzi, Jerome, Chavez-Garcia, R. Omar, Nava, Mirko, Gambardella, Luca Maria, Giusti, Alessandro

“…We introduce a novel approach to long-range path planning that relies on a learned model to predict the outcome of local motions using possibly partial…”
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Multi-LED Classification as Pretext For Robot Heading Estimation by Carlotti, Nicholas, Nava, Mirko, Giusti, Alessandro

“…We propose a self-supervised approach for visual robot detection and heading estimation by learning to estimate the states (OFF or ON) of four independent…”
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Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of its LEDs by Carlotti, Nicholas, Nava, Mirko, Giusti, Alessandro

“…We consider the problem of training a fully convolutional network to estimate the relative 6D pose of a robot given a camera image, when the robot is equipped…”
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Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics by Cereda, Elia, Bonato, Stefano, Nava, Mirko, Giusti, Alessandro, Palossi, Daniele

“…Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic maneuvers…”
Get full text

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task by Nava, Mirko, Carlotti, Nicholas, Crupi, Luca, Palossi, Daniele, Giusti, Alessandro

“…We propose a novel self-supervised approach for learning to visually localize robots equipped with controllable LEDs. We rely on a few training samples labeled…”
Get full text

Visual Servoing with Geometrically Interpretable Neural Perception by Paolillo, Antonio, Nava, Mirko, Piga, Dario, Giusti, Alessandro

“…An increasing number of nonspecialist robotic users demand easy-to-use machines. In the context of visual servoing, the removal of explicit image processing is…”
Get full text

Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks by Nava, Mirko, Paolillo, Antonio, Guzzi, Jérôme, Gambardella, Luca Maria, Giusti, Alessandro

“…We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from…”
Get full text

Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry by Nava, Mirko, Guzzi, Jerome, Chavez-Garcia, R. Omar, Gambardella, Luca M, Giusti, Alessandro

“…We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of…”
Get full text