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 …

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 simulated or …

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 automated …

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, and it …

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

Learning plays a key role in how we model both sensing and acting. This course covers various modern robot learning concepts and how to apply them to solve real-world problems.

Robot learning is an interdisciplinary field at the intersection of robotics, machine learning, cognitive science, and control theory, aiming to create intelligent and adaptable robotic systems capable of …

Dec 18, 2019 · In this article we will first discuss different types of machine learning, then outline different application areas of robot learning, and finally discuss the particular challenges of robot …

Nov 24, 2023 · The purpose of this review is to systematically assess the state-of-the-art foundation model techniques in the robot learning and to identify future potential areas.