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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across... -
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Introduction-to-Autonomous-Robots
Introduction to Autonomous Robots
An open textbook focusing on computational principles of autonomous robots. The source-code is released under Creative Commons 4.0 (CC-BY-NC-ND), whereas the print version is copyrighted by MIT Press. You are therefore permitted to use images and content from the book for non-commercial purposes (including teaching) with proper attribution, but you cannot post compiled versions of the book online. In order to compile a PDF of this book yourself, you either need a working implementation of Latex on your computer or use the online Latex editor overleaf.com. ...
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