Mirko Nava

Making robots understand the world using deep learning

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Mirko Nava on a snowy mountain

About Me

I'm Mirko, an Artificial Intelligence researcher specialized in Self-supervised Learning and Computer Vision for mobile robots.

As a postdoctoral researcher, my time is divided between working on applied research projects, where I focus on solving challenging vision problems using AI, and advancing my research on Self-supervised autonomous robots.

I hold a PhD in AI from Univeristà della Svizzera italiana, where I developed Deep Learning techniques for autonomous robots capable of interacting with the world, collecting their own experiences, and learning from them.

Outside of work, I enjoy cooking, hiking, and working on quirky programming projects.

Research

Self-Supervised Learning

Leverage data to create meaningful training signals such that learning from them forces robots to capture structures, essential features, or relationships in the data itself.
Louis Bouchard

Spatial Perception

Enabling robots to to perceive and visually understand outside spatial information such as features, properties, measurement, shapes, position and motion of objects in space.
Alison Simmons

News

LEDs classification Pretext for orientation estimation IROS article

Postdoc researcher at IDSIA

LEDs classification as a Pretext task RA-L article

Officially a Doctor

Internship at Magic Leap

Sound prediction as a Pretext task RA-L article