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Autonomous systems internship

University of Munich
Munich , Germany
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Program Details
Degree
Masters
Major
Robotics Engineering | Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program

Program Overview

University Program Information

###Introduction The university program in question is the Autonomous Systems Internship (ASP), which is a practical course focused on autonomous systems.


Course Description

Modern systems - e.g. robots - act autonomously: They make decisions independently and adapt their behavior flexibly to current circumstances and requirements. In this internship we will deal with the implementation of autonomous systems. We implement algorithms for adaptive planning, optimization and coordination as well as methods for evaluating and analyzing autonomous systems. A selection of the topics covered is:


  • Decision Making in Autonomous Systems
  • Planning and Reinforcement Learning
  • Simulation and approximation

Department and Lecturers

The course is offered by the Institut f¸r Informatik (Department of Computer Science) and is taught by the following lecturers:


  • Philipp Altmann
  • Jonas N¸fllein -Thomy Phan

Course Participants and Central Allocation

The course has a limited number of participants, with 15 out of 16 spots currently filled. The central allocation for this course is Master Internships.


Instructions for Application

To apply for the course, students are required to describe their motivation and prior knowledge for the Autonomous Systems internship in a few sentences. They must also attach their current Transcript of Records to their application. In cases of multiple applications, students are asked to provide their priority ranking.


Materials and Exams

Course material is only accessible to members of the course, including participants, tutors, correctors, and administrators. The exam schedule is as follows:


  • Closing event: Wednesday, July 19, 9:00 AM - 12:00 PM

Additional information

The course is part of the Summer 2023 semester, and students are expected to have a strong foundation in computer science and autonomous systems. The course focuses on the implementation of algorithms for adaptive planning, optimization, and coordination, as well as methods for evaluating and analyzing autonomous systems.


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