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Prof. Dr. Abhinav Valada
Dr. Daniele Cattaneo
Juana Valeria Hurtado
Sambit Mohapatra
Dr. Evelyn Rusdea
Michael Keser
Dr. Tim Welschehold
Daniel Honerkamp
Nikhil Gosala
Adrian Röfer
Sharang Kaul
Jiarong Wei
Research
Publications
Teaching
SS 2025
Advanced Deep Learning
Foundations of AI
Graphentheorie
Laboratory: Deep Learning Lab
Seminar: Learning with Limited Supervision
Seminar: Learning for Robot Manipulation
Projects
WS 2024/25
Foundations of Deep Learning
Machine Learning
Laboratory: FreiCAR - Practical Autonomous Driving
Seminar: Robot Learning
projects
SS 2024
Advanced Deep Learning
Introduction to Mobile Robotics
Foundations of AI
Graphentheorie
Laboratory: Deep Learning Lab
Seminar: Learning with Limited Supervision
Projects
WS 2023/24
Foundations of Deep Learning
Machine Learning
Betriebssysteme
Laboratory: FreiCAR - Practical Autonomous Driving
Seminar: Robot Learning
Projects
SS 2023
Introduction to Mobile Robotics
Laboratory: Deep Learning Lab
Seminar: Learning with Limited Supervision
Projects
WS 2022/23
Foundations of Deep Learning
Seminar: Robot Learning
Laboratory: FreiCAR - Practical Autonomous Driving
Projects
SS 2022
Introduction to Mobile Robotics
Laboratory: Deep Learning Lab
Laboratory: FreiCAR - Practical Autonomous Driving
Seminar: Learning with Limited Supervision
Projects
WS 2021/22
Foundations of Deep Learning
Seminar: Robot Learning
Projects
SS 2021
Laboratory: Deep Learning Lab
Proseminar: Robot Learning
Seminar: Robot Learning
Projects
WS 2020/21
Foundations of Deep Learning
Seminar: Deep Learning for Autonomous Systems
Projects
SS 2020
Laboratory: Deep Learning Lab
Seminar: Self-Supervised Learning
Projects
WS 2019/2020
Foundations of Deep Learning
Projects
Templates
Reading Groups
Autonomy for Mobility
Autonomy for Manipulation
Funded Projects
Datasets & Code
Open Positions
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