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.

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, …

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 …

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

The Robot Learning Laboratory at the University of Washington works on foundational research in machine learning, artificial intelligence and robotics. Our goal is to develop intelligent robotic …

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 …

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

Nov 28, 2025 · When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to …

6 days ago · Meet BrainBody LLM: Algorithms that can make robots think and act like humans The BrainBody-LLM algorithm mimics how the human brain and body communicate during …

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.