Masterpraktikum - Intelligent Mobile Robots with ROS (IN2106, IN4290)
Lehrveranstaltung 0000002736 im WS 2020/1
Basisdaten
| LV-Art | Praktikum |
|---|---|
| Umfang | 6 SWS |
| betreuende Organisation | Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll) |
| Dozent(inn)en |
Robin Dietrich Alexander Lenz Leitung/Koordination: Alois Christian Knoll |
| Termine |
1 einzelner oder verschobener Termin |
Zuordnung zu Modulen
-
IN2106: Master-Praktikum / Advanced Practical Course
Dieses Modul ist in den folgenden Katalogen enthalten:- weitere Module aus anderen Fachrichtungen
weitere Informationen
Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).
| ergänzende Hinweise | <b>Important:</b> There will be an online kick-off meeting held on July 14th at 4 pm using zoom. Please attend this meeting if you are interested in this course. Meeting Link: https://tum-conf.zoom.us/j/92083728698 Meeting ID: 920 8372 8698 Password: 826135 Autonomous mobile robots have been a research area of interest for decades now. They have come a long way from first navigation approaches using large, single-core computers and ultra-sound sensors to fully autonomous machines equipped with GPUs and advances sensors like 3D lidars. Nowadays, they are frequently used in logistic centers, healthcare system or department stores. They are able to operate safely and autonomously in their environment as well as detect and interact with people. In this course, students will get the chance to understand all parts of a mobile robot (software & hardware) and work on their own, self-chosen project on a real mobile robot (Robotino) equipped with multiple different sensors. This course attempts to give a practically oriented overview of all disciplines with the field of mobile robotics. This includes the localization, mapping, navigation and perception of the robot in an (un-)known environment. In order to master this knowledge, the first part of the course will be consisting of (online) lectures, each focusing on one of the previously mentioned disciplines. At the end of each lecture the student has to work on a small practical exercise in order to apply the theoretical knowledge in the real (simulated) world. During the second part of the course, students will form heterogeneous teams of 3-5 members, preferably with different backgrounds. Each team will then choose a problem or task to work on freely. This task could be almost anything, from developing a delivery robot (more software oriented) to trying to solve a known problem (e.g. localization) with a new algorithm (e.g. spiking neural networks) (more research oriented). This allows the students to choose a topic aligned with their personal interests and knowledge. Due to Corona restrictions, the first part of the course will most likely be held completely virtual, including virtual lectures and exercises using a simulator. The second part, however, will take place in the lab at Hochbrück as long as the current situation due to corona will allow it. You can pick one of multiple Robotino robots for your final project and work on it throughout the semester. We will try to make working in small groups in the labs in Hochbrück possible. However, we cannot promise anything at this point, since it is subject to the Corona situation at the time. We will strictly follow government guidelines and University regulations. Since the final project is team based, this course is suitable for students with almost any kind of background. As long as you are interested in mobile robots and motivated to work in a team on an actual robot to solve a problem, you are going to fit right in. (Of course you need to have some kind of programming experience, see next paragraph) |
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| Links |
E-Learning-Kurs (z. B. Moodle) TUMonline-Eintrag |