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Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

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research:machinelearning [2021/03/03 15:17]
Prof. Dr. Stefan Leutenegger
research:machinelearning [2022/07/26 16:35] (current)
Simon Schaefer
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 ====== Machine Learning (Including Deep Learning) ====== ====== Machine Learning (Including Deep Learning) ======
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 +    <field>foto</field>
 +    <field>name</field>
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 ===== Volumetric Occupancy Mapping With Probabilistic Depth Completion ===== ===== Volumetric Occupancy Mapping With Probabilistic Depth Completion =====
 {{youtube>brSJPgu8IO4 }}We have been using Machine Learning, often Deep Learning, extensively as part of SLAM approaches, particularly in mapping. This includes semantic segmentation and instance segmentation, as well as prediction of geometry, e.g. image-based depth prediction and depth completion. Furthermore, understanding uncertainty of predicted quantities allows for robust interfaces with other components running on-board a mobile robot. {{youtube>brSJPgu8IO4 }}We have been using Machine Learning, often Deep Learning, extensively as part of SLAM approaches, particularly in mapping. This includes semantic segmentation and instance segmentation, as well as prediction of geometry, e.g. image-based depth prediction and depth completion. Furthermore, understanding uncertainty of predicted quantities allows for robust interfaces with other components running on-board a mobile robot.

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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

Follow us on:
SRL  CVG   DVL