Robotics Institute Germany Lecture Series
| Lecturer (assistant) | |
|---|---|
| Number | 0000004630 |
| Type | lecture |
| Duration | 2 SWS |
| Term | Wintersemester 2025/26 |
| Language of instruction | English |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
-
(No dates found)
Admission information
See TUMonline
Note: Registration for exam via TUMonline
Note: Registration for exam via TUMonline
Objectives
After completing this lecture, students will be able to:
- Identify and describe current research topics and methods in robotics within Germany,
- Understand interdisciplinary links between computer science, engineering, artificial intelligence, and societal aspects of robotics,
- Critically analyze recent research results and assess their impact on future developments in robotics,
- Build academic connections with researchers and institutions in the German robotics community.
- Identify and describe current research topics and methods in robotics within Germany,
- Understand interdisciplinary links between computer science, engineering, artificial intelligence, and societal aspects of robotics,
- Critically analyze recent research results and assess their impact on future developments in robotics,
- Build academic connections with researchers and institutions in the German robotics community.
Description
The Robotics Institute Germany (RIG) Lecture Series is a nationwide coordinated seminar-style lecture series that brings together leading researchers in the field of robotics from across Germany. Each week, a distinguished expert from academia or industry presents recent advances in robotics and artificial intelligence, followed by an open discussion with students and participants.
The goal of this course is to provide students with a comprehensive overview of the diversity and cutting-edge developments in robotics research in Germany. The topics cover a broad spectrum—from robotic fundamentals and industrial automation to neurorobotics, soft robotics, cognitive systems, human-robot interaction, and the societal dimensions of robotics.
The lecture fosters academic exchange across institutions and allows students to engage directly with leading experts, gain insights into ongoing research, and build an understanding of current and future challenges in robotics.
Topics and Speakers (Winter 2025/26)
Oliver Brock (TU Berlin): Robotics and AI will never feel the same again
Werner Kraus (Fraunhofer IPA): AI-powered Industrial Robotics
Florian Röhrbein (TU Chemnitz): Introduction to Neurorobotics
Wolfram Burgard (TU Nürnberg): tba
Florian Hartmann (MPI-IS): Introduction to Soft Robotics
Nico Hochgeschwender (University of Bremen): Automated Validation and Evaluation of Cognitive Robots
Georgia Chalvatzaki (TU Darmstadt): Robot Learning of Mobile Manipulation / Intro to Structured Robot Learning
Jan Niehues (KIT): Natural Language Interactions with Robots
Tamim Asfour (KIT): Robot Learning from Human Demonstration for Manipulation
Uwe Aßmann & Sebastian Ebert (TU Dresden): Distributed Petri Nets for Cobotics
Svenja Breuer & Ruth Müller (TU München): Robotics and Society – Lessons Learned from the Responsible Robotics Project
Oskar von Stryk (TU Darmstadt): Commercializing Robotic Innovations: Insights and Lessons from Three Startup Frontlines
The goal of this course is to provide students with a comprehensive overview of the diversity and cutting-edge developments in robotics research in Germany. The topics cover a broad spectrum—from robotic fundamentals and industrial automation to neurorobotics, soft robotics, cognitive systems, human-robot interaction, and the societal dimensions of robotics.
The lecture fosters academic exchange across institutions and allows students to engage directly with leading experts, gain insights into ongoing research, and build an understanding of current and future challenges in robotics.
Topics and Speakers (Winter 2025/26)
Oliver Brock (TU Berlin): Robotics and AI will never feel the same again
Werner Kraus (Fraunhofer IPA): AI-powered Industrial Robotics
Florian Röhrbein (TU Chemnitz): Introduction to Neurorobotics
Wolfram Burgard (TU Nürnberg): tba
Florian Hartmann (MPI-IS): Introduction to Soft Robotics
Nico Hochgeschwender (University of Bremen): Automated Validation and Evaluation of Cognitive Robots
Georgia Chalvatzaki (TU Darmstadt): Robot Learning of Mobile Manipulation / Intro to Structured Robot Learning
Jan Niehues (KIT): Natural Language Interactions with Robots
Tamim Asfour (KIT): Robot Learning from Human Demonstration for Manipulation
Uwe Aßmann & Sebastian Ebert (TU Dresden): Distributed Petri Nets for Cobotics
Svenja Breuer & Ruth Müller (TU München): Robotics and Society – Lessons Learned from the Responsible Robotics Project
Oskar von Stryk (TU Darmstadt): Commercializing Robotic Innovations: Insights and Lessons from Three Startup Frontlines
Prerequisites
Basic understanding of robotic systems and machine learning necessary
Teaching and learning methods
Weekly online lectures with live discussions via Zoom, held on Thursdays from 14:15–15:45.
Participants are encouraged to ask questions and take part in the open discussion sessions.
Zoom Link: https://tu-berlin.zoom-x.de/j/63606623807?pwd=01u0brYFzcrZVRM60LOoAXW1GxAQXg.1
Meeting ID: 636 0662 3807 Passcode: 061772
Participants are encouraged to ask questions and take part in the open discussion sessions.
Zoom Link: https://tu-berlin.zoom-x.de/j/63606623807?pwd=01u0brYFzcrZVRM60LOoAXW1GxAQXg.1
Meeting ID: 636 0662 3807 Passcode: 061772