Blogs on simulation » Lamarr Institute

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.

Embodied AI Explained: Principles, Applications, and Future Perspectives

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. ...

BlogResearch

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

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....

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

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

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

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....