Alessandro Giusti at Dalle Molle Institute for Artificial Intelligence Research - Research Interests, Publications & Academic Profile

Alessandro Giusti

Dalle Molle Institute for Artificial Intelligence Research

Switzerland

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Research Interests

Human-robot Interaction

50%

Artificial Intelligence

60%

Mobile Robotics

50%

Social Robotics

40%

Computer Vision

30%

Unmanned Aerial Vehicle

30%

Self-supervised Learning

30%

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Articles17

Self-supervised prediction of the intention to interact with a service robot

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Year:

2024

Corrections to “a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing”

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2024

Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics

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2024

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing

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Year:

2024

Notice to Reader: Training on the Fly: On-Device Self-Supervised Learning Aboard Nano-Drones Within 20mW

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Year:

2024

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task

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2024

Have You Ever Seen a Robot? An Analysis of Children’s Drawings Between Technology and Science Fiction

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2023

Hazards&Robots: A dataset for visual anomaly detection in robotics

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Year:

2023

Model-Optimizing Radiofrequency Parameters of 3D Finite Element Analysis for Ablation of Benign Thyroid Nodules

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Year:

2023

A mirror therapy system using virtual reality and an actuated exoskeleton for the recovery of hand motor impairments: a study of acceptability, usability, and embodiment

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2023

Learning Visual Localization of a Quadrotor Using Its Noise as Self-Supervision

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2022

An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots

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2022

Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks

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Year:

2021

Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset

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2021

State-Consistency Loss for Learning Spatial Perception Tasks From Partial Labels

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2021

Learning to Predict Metal Deformations in Hot-Rolling Processes

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Year:

2020

Path Planning With Local Motion Estimations

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Year:

2020

Collaborators5

Andrada Pica

Assistant Professor non-tenure track (Italian RTD-A)

University of Sassari

ITALY

Antonio Paolillo

Dalle Molle Institute for Artificial Intelligence Research

SWITZERLAND

Lucio Negrini

Professore

Scuola universitaria professionale della Svizzera italiana

SWITZERLAND

Luca Botturi

Professore in Media in educazione

Scuola universitaria professionale della Svizzera italiana

SWITZERLAND

Fabiano Bini

Associate Professor

Università degli Studi di Roma La Sapienza

ITALY

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