Optimization in Robotics

The participants learn to independently explore and understand a given topic and present it to the other participants in a concise and coherent way.

Intended Participants	Master Students
Instructors	Christopher Funk, Benjamin Noack
SWS	4
Credits	6
Languages	English / German
Prerequisites	Basic knowledge of probability and statistics Understanding of linear algebra (matrix and vector operations) Preferably, lecture Estimation for Autonomous Mobile Robots (AMR)
Kick-Off	18.10.2022, TBA

Course Description

Optimization forms the basis of many state-of-the-art perception methods in robotics. From simultaneous localization and mapping (SLAM) and multiple object tracking (MOT) to collaborative localization, the most performant methods for these problems are frequently optimization-based.

Thus, optimization powers many recent advances in modern robotics.

In this seminar, participants will learn the basics of mathematical optimization. Individual topics related to concrete applications in robotics will be assigned to the participants and will eventually be presented to the other participants.

Registration

LSF

For any additional questions regarding the project or for any issues with registration, please email