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Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN0012, IN2106, IN4287)

Course 0000002111 in SS 2021

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Lecturers Mahmoud Younes Mahmoud Akl
Josip Josifovski
Alexander Lenz
Florian Walter
Responsible/Coordination: Alois Christian Knoll
Dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks PLEASE NOTE: The registration for the course will be managed by the TUM matching system. Applicants are required to send a brief description of their skills and practical programming experience together with a short paragraph outlining their motivation to join the course and a transcript of records to florian.walter@tum.de by February 18, 2021, 11:59 pm. An introductory meeting will be held on Zoom (Meeting ID: 651 6582 5817, Password: 779599) on February 4, 2021 from 09:30 - 10:00 am. Please check the "Additional Information" section to download the slides from the preliminary meeting (will be made available after February 4). Applying state-of-the-art deep learning methods to robotics remains challenging. Generating the required amount of data for training on physical robots is costly and usually takes too long to be practically feasible. This is why simulation environments are becoming increasingly important in machine learning. They not only reduce costs and setup times but also enable arbitrary acceleration of the learning process through massively parallel deployment in the cloud. However, most currently available simulation environments only support very simple robot systems are not tailored to the specific requirements in robotics. The goal of this practical course is to set up virtual environments in a cloud-based robot simulation environment and to train machine learning models in the cloud. Participants will leverage modern deplyoment methods such as containers to deploy detailed simulation models in the cloud and train simulated robot to perform tasks based on simulated sensor input.
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2022 Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN0012, IN2106, IN4287) Josifovski, J. Lenz, A. Malmir, M. Walter, F.
Responsible/Coordination: Knoll, A.
WS 2021/2 Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN0012, IN2106, IN4287) Akl, M. Josifovski, J. Lenz, A. Walter, F.
Responsible/Coordination: Knoll, A.
WS 2020/1 Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN0012, IN2106, IN4287) Akl, M. Josifovski, J. Lenz, A. Walter, F.
Responsible/Coordination: Knoll, A.
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