Blogs on robotics » Lamarr Institute

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Action Space Design – Reinforcement Learning for Robot Motor Skills

Dr. Julian Eßer, Gabriel Margolis,

09. April 2025

Practitioners typically rely on intuition to choose action spaces for robot learning tasks. This study examines action space selection across various tasks and robots, offering practical guidelines for the robot learning community....

Futuristic image of an advanced robot with a sleek, modern design. The robot is working on a high-tech holographic interface displaying data and digital models. In the background, glowing screens with charts and real-time data enhance the futuristic, technological setting. The scene highlights innovation, artificial intelligence, and the integration of technology into the physical world.

BlogBasics

Embodied AI Explained: Principles, Applications, and Future Perspectives

Dr. Julian Eßer,

15. January 2025

Embodied Artificial Intelligence refers to AI that is embedded in physical systems, such as robots, and can interact with the surroundings. Explore what Embodied AI is, its core principles, and potential applications. ...

BlogApplication

Creators of the Future: Discovering STEM Subjects and Mastering Digital Media

Stephanie Justrie,

11. October 2023

How do I become a shaper of the (digital) future? The Ada Lovelace Project helps girls & women discover STEM subjects and their own potential – true to the motto of its namesake: What I want, I can do!...

BlogResearch

Guided Reinforcement Learning – Deployed for Dynamic Locomotion of a Two-Wheeled Robot

Dr. Julian Eßer,

04. October 2023

Guided RL aims at learning control policies for real-world robots in an efficient and effective way. We showcase how to practically apply it to the task of learning dynamic locomotion for a two-wheeled robot....

KI-Bildung in der Grundschule mit der Roberta-Initiative|||

BlogApplication

AI education – Roberta® excites children for STEM subjects already in elementary school

Thorsten Leimbach,

08. August 2023

We need to get young people excited about subjects like coding, robotics and AI at an early stage in order to secure the next generation of qualified specialists! The Roberta® initiative of Fraunhofer IAIS offers a solution....

00 Blog Julian Reinforcement Learning 3 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Guided Reinforcement Learning – Application to three Robotic Tasks

Dr. Julian Eßer,

26. July 2023

Guided RL aims at learning control policies for real world robots in an efficient and effective way. We showcase how the introduced modular toolbox can be applied to three different robotic tasks....

BlogResearch

Guided Reinforcement Learning – Towards Efficient and Effective Real-World Robotics

Dr. Julian Eßer,

12. July 2023

Guided Reinforcement Learning describes a concept for learning control policies of intelligent robots. By incorporating additional knowledge, the training process becomes more data-efficient and effective for real-world robotics....

00 Blog Julian Reinforcement Learning 1 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Introduction to Reinforcement Learning – A Robotics Perspective

Dr. Julian Eßer,

05. July 2023

Reinforcement Learning is a data-driven approach to learn intelligent behaviors through trial and error interaction with the environment. Related to robotics, it offers new chances for learning robot control under uncertainties for challenging robotic tasks....

00 Blog CyrillStachniss Cluster - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Autonomous robots for agriculture 4.0

PhenoRob , Prof. Dr. Cyrill Stachniss,

19. October 2022

Agriculture is fundamental to ensure our livelihood. Autonomous robots that can monitor, understand and act on fields have the potential to assist in sustainable agriculture 4.0....