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 …

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, …

Start your robotics journey with essential foundations and workflows in simulation, Robot Operating System (ROS), and robot learning.

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

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 …

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.

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

Dec 18, 2019 · Robot learning spans the whole spectrum of supervised learning, unsupervised learning, and reinforcement learning and has been applied to virtually all systems and control …

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 …