DreamDojo: Scaling Robot World Models with 44,000+ Hours of Egocentric Human Video
TL;DR DreamDojo pretrains a robot world model on 44,711 hours of egocentric human video using continuous latent actions as proxy
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Luigi Freda
Computer Vision, AI, Robotics Engineer, PhD
AI
pySLAM v.2.10.0 – A Hybrid Python/C++ Framework for Visual SLAM and 3D Perception
Iām happy to share pySLAM v2.10.0 🎉 🔗 https://github.com/luigifreda/pyslam This is a major update that moves the project forward on
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Figure AI Announces Helix 02 – a General-Purpose Humanoid System
Figure AI has announced Helix 02, a new AI control system for its humanoid robots, detailed in a post published
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Genie 3 – AI That Builds Worlds from Words
Genie 3, developed by Google DeepMind, represents a significant step toward general-purpose world models, which are AI systems that learn the
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Hottest Deep Learning Frameworks 2018
In this very nice article, Jeff compares all the hottest deep learning frameworks that are used in the Academic and
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CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
In this page, the Authors K. Tateno, F. Tombari, I. Laina and N. Navab present the following paper in which CNNs are used
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Hand-Crafted Features or Learned Local Features?
In this post, Torsten Sattler presents his upcoming CVPR 2017 paper “Comparative Evaluation of Hand-Crafted and Learned Local Features”
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