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 …

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 real-world environment.

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

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 …

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.

About UC Berkeley's Robot Learning Lab, directed by Professor Pieter Abbeel, is a center for research in robotics and machine learning.

Introduction Robot learning is a subfield of artificial intelligence (AI) and robotics that focuses on the development of algorithms and techniques enabling robots to acquire new skills or adapt to their …

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 …