Robot Learning is a peer-reviewed open access journal focused on publishing original works in all areas of robot learning in both theoretical research and application achievement.

Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning …

Oct 14, 2025 · This tutorial navigates the landscape of modern robot learning, charting a course from the foundational principles of Reinforcement Learning and Behavioral Cloning to …

What Is Robot Learning? Robot learning is a collection of algorithms and methodologies that help a robot learn new skills such as manipulation, locomotion, and classification in either a …

Robots need to make sequential decisions to operate in the world and generalize to diverse environments. How can they learn to do so? This is what we call the "robot learning" problem, …

Our goal is to develop intelligent robotic systems that can perceive, plan, and act in complex environments and improve performance with experience.

Nov 20, 2025 · Robots master complex moves like backflips using AI and hybrid control theory, learning to combine skills efficiently through optimal control methods.

Focus is on both applied and theoretical issues in robotics and automation. Robotics is here defined to include intelligent machines and systems; whereas automation includes the use of …

Jul 23, 2025 · This chapter introduces the research on robot learning, with a focus on Robot Online Learning (ROL) frameworks. It begins by defining ROL and motivating its necessity for …

This course dives deep into robot learning, looks at fundamental algorithms and challenges, and case-studies of real-world applications from self-driving to manipulation.