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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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Seminar: Robot Perception & Intelligence

Seminar Description

Perception of the environment is at the prerequisite for robots to interact with their surroundings, and enables the intelligence for high-level autonomy. The 3D geometry and semantic meaning of the environment, the pose of a robot, the understanding of human motion, etc., are among the core of robot perception. In this seminar, we will discuss artificial intelligence algorithms that endow robots with an accurate and keen perception of the real world as well as how to teach robots to act in it. Students are required to do a literature review on relevant topics and present their findings at a colloquium in an informative and understandable way. The related topics include but are not limited to: Learning-Based and classical state estimation and mapping, depth completion, neural rendering, human pose estimation and forecasting, navigation and control (classical and learning-based, e.g. with deep reinforcement learning).

Prerequisites:

  • Basic knowledge in computer vision algorithms, espc. visual navigation
  • Basic knowledge in machine learning
  • Basic knowledge in mobile robotics

Organization

General

  • Organizers: Dr. Jaehyung Jung, Simon Boche, Hanzhi Chen, Sebastian Barbas Laina, Jiaxin Wei, Yannick Burkhardt
  • Contact: rpi-ws24@srl.cit.tum.de  (not yet active)
  • The preliminary meeting will be online.

Preliminary Meeting

Important Note

We require some form of pre-registration (in addition to the registration via the TUM matching system). Thus, students that are not able to attend the preliminary meeting, please send us an e-mail that you are interested in the seminar such that we can provide you with the necessary information and material for registration for the seminar

Material

Course related content will be uploaded here.

Rechte Seite

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