Robotics

Robotic hand demonstrates human-like dexterity We’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity. Our system, called Dactyl, is trained entirely in simulation and transfers its knowledge to reality, adapting to real-world physics using techniques we’ve been working on for the past year. Dactyl learns from scratch using the same general-purpose reinforcement learning algorithm and code as Open AI Five. Our results show that it’s possible to train agents in simulation and have them solve real-world tasks, without physically-accurate modeling of the world. Using algorithms originally developed to help five AIs play the game Dora 2, Open AI researchers built an extremely dexterous robot hand.

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Robotics

Robotics

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