Robotics is still waiting for its "ChatGPT" moment Language models had the internet to learn from, while robots need diverse physical demonstrations that are expensive to collect Bessemer estimated just 300,000 hours of robot manipulation data globally in April, while others believe robotics could require 100M+ training hours Bessemer projects $3B+ in robot-data spending over two years Open networks are using crypto incentives to coordinate contributors across simulation, teleoperation and human video collection Axis reports 7M+ trajectories from 220K+ contributors, with its data lifting task success from 83.9% to 88.8% on the LIBERO-Plus simulation benchmark Our latest report explores the data opportunity through Axis, BitRobot, Eastworlds & THOR Full report in the next post below

Speakers from 1X, Dyna Robotics, Skild AI, Google DeepMind, Physical Intelligence and more. Humanoid robots, dexterous hands and more cool robotics demos on the floor. The robotics community in one floor, and four NVIDIA Jetsons to give away. Agenda:

BitRobot will pay you to wear a $500 hat at work. Six cameras, pointed at your hands. Robots have almost no training data, but people have all of it. So the hats are going into bakeries, hotels and factories. I would rather own what the humanoids learn from than fund the humanoids.