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
deep learning
Probing the 3D Awareness of Visual Foundation Models
As visual foundation models increasingly find their way into SLAM and 3D reconstruction pipelines, an important question arises: are these
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pySLAM v.2.10.0 – A Hybrid Python/C++ Framework for Visual SLAM and 3D Perception
I’m 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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Waymo has unveiled the Waymo World Model
Waymo has unveiled the Waymo World Model, a next-generation simulation platform built on Google DeepMind’s Genie 3. This frontier generative
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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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RSS 2025 Workshop: Unifying Visual SLAM – From Fragmented Datasets to Scalable, Real-World Solutions
Excited to share Prof. Michael Milford’s post about the upcoming “Unifying Visual SLAM: From Fragmented Datasets to Scalable, Real-World Solutions”
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A new release of pySLAM is here. Loop-closing, volumetric integration, depth prediction and more improvements.
🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
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pySLAM v2.1 is out
I am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
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slamplay is ready!
If you love to play with SLAM like me, I shared slamplay on github: https://github.com/luigifreda/slamplay. slamplay is a collection of powerful
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My new pySLAM v2 is out!
I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
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Visual Perception and Spatial Computing
On February 2019, I was the teacher of the course Visual Perception and Spatial Computing in the Advanced School of AI. This school
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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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Driverless cars that ‘see’ the road ahead
Micheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
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