Researchers have devised a new deep reinforcement learning architecture that can combine pre-learned skills to create new sets of skills on the fly, which was tested in simulations and a four-legged robot. Learn more in Science Robotics: https://fcld.ly/5o3arky | Science

Scientists have designed a reinforcement learning-based framework that enables multiple robot arms to perform up to 40 tasks simultaneously without colliding in a crowded workspace. Learn more in #ScienceRobotics: https://scim.ag/4mI8Y31 | Science

Want to train your robot? Discover how robot learning helps your robot master new skills and use them in the real world. Learn more: https://nvda.ws/3Khm7C9 | NVIDIA Robotics

Scientists have developed an imitation learning-based method that enabled a robot to learn 1000 distinct manipulation tasks from less than 24 hours of human demonstrations. Learn more in #ScienceRobotics: https://scim.ag/4qVsMm3 | Science

Smarter and faster robot training is here! 🚀🦾 MIT researchers have unveiled a model that speeds up robot training by simulating real-world conditions in controlled environments. Using advanced reinforcement learning, this model teaches robots by rewarding successful actions. This approach allows them to adapt and generalize tasks more effectively. This breakthrough reduces training time, making it easier for robots to learn complex actions like: - helping out in homes - assisting in factories