BlogResearch Action Space Design – Reinforcement Learning for Robot Motor Skills 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....
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....
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....
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....
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....
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....
