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A profile about the people, projects and experiences behind their work. Discover their career, contributions and connections.

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2022

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2022

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A profile about the people, projects and experiences behind their work. Discover their career, contributions and connections.

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2022

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2022

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Luca Carlone

Luca Carlone leads research on robot perception and mapping as an associate professor in MIT’s Department of Aeronautics and Astronautics. He works on systems that help robots build real-time 3D maps and understand objects and spaces; projects include the open-source mapping library Kimera and its multi-robot extension, Kimera-Multi.

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Elsewhere

Georgia Institute of Technology

2013 — 2015

Postdoctoral fellow

Polytechnic University of Turin

B.S.

Polytechnic University of Turin

S.M.

Polytechnic University of Milan

S.M.

Polytechnic University of Turin

Ph.D.

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news.mit.edu

3 Questions: Honing robot perception and mapping

An interview about Kimera, Kimera-Multi, and how robots can map and interact with their surroundings.

Media appearance

youtube.com

RSS 2020 Early Career Award Keynote: The Future of Robot Perception

A keynote on certifiable perception algorithms, robustness to outliers, and real-time scene understanding for robots.

Media appearance

aeroastro.mit.edu

Teaching robots to map large environments

A report on a system for building 3D maps from images, including how it combines AI vision models with classical computer vision.

Media appearance

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Luca Carlone

Georgia Institute of Technology

Polytechnic University of Turin

Polytechnic University of Turin

Polytechnic University of Milan

Polytechnic University of Turin

Products & media

3 Questions: Honing robot perception and mapping

RSS 2020 Early Career Award Keynote: The Future of Robot Perception

Teaching robots to map large environments

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Company name

Company name

Luca Carlone

Georgia Institute of Technology

Polytechnic University of Turin

Polytechnic University of Turin

Polytechnic University of Milan

Polytechnic University of Turin

Products & media

3 Questions: Honing robot perception and mapping

RSS 2020 Early Career Award Keynote: The Future of Robot Perception

Teaching robots to map large environments

Curated Lists

List Inclusions