One policy, twenty assembly tasks. AlphaNIST, from NVIDIA's Isaac Lab, trained a single RL policy across the full NIST assembly board: 98.2% success vs 81.4% for specialist policies. It even chains 10 tasks in a row on a single reward. Source: AlphaNIST. Video: AlphaNIST #Robotics #RobotLearning
@trossenrobotics.bsky.social"Surreal." 🦾
Move your hand. The robot glides right along with you. Smooth, natural, no lag. That's Glide and Cockpit. Link in bio to go to the website and checkout our new product lineup.
#PhysicalAI #Teleoperation #Robotics #RobotArms #RobotLearning #FirstReactions