RL for Robotics

How can robots learn to navigate an unfamiliar environment and perform ever-changing tasks? One approach to solving this problem is reinforcement learning (RL), a form of Machine Learning in which training takes place in an interactive process of exploration and trial and error. In our topic series, learn how this type of Machine Learning is resembling human learning and what successes have already been achieved with it in robotics.

Research

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

04. October 2023

In the previous blogposts of the RL for robotics series, we’ve already explored the concept of Guided RL and...

Research

Guided Reinforcement Learning – Application to three Robotic Tasks

26. July 2023

In the previous blog post of our RL for Robotics series we’ve introduced the fundamentals of Guided Reinforcement...

Research

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

12. July 2023

In the first part of our blog post series on Guided Reinforcement Learning (RL), we have already seen the potential of...

Research

Introduction to Reinforcement Learning – A Robotics Perspective

05. July 2023

Reinforcement Learning (RL) is known as a branch of Machine Learning where an intelligent agent takes decisions in an...