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
Read moreRobotics & Computer Vision Engineer, PhD
TL;DR DreamDojo pretrains a robot world model on 44,711 hours of egocentric human video using continuous latent actions as proxy
Read moreAs visual foundation models increasingly find their way into SLAM and 3D reconstruction pipelines, an important question arises: are these
Read moreI’m happy to share pySLAM v2.10.0 🎉 🔗 https://github.com/luigifreda/pyslam This is a major update that moves the project forward on
Read moreFigure AI has announced Helix 02, a new AI control system for its humanoid robots, detailed in a post published
Read moreExcited to share Prof. Michael Milford’s post about the upcoming “Unifying Visual SLAM: From Fragmented Datasets to Scalable, Real-World Solutions”
Read more🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
Read moreI am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
Read moreI am happy to release the code of my project PLVS. PLVS is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and
Read moreIf you love to play with SLAM like me, I shared slamplay on github: https://github.com/luigifreda/slamplay. slamplay is a collection of powerful
Read moreCheck out the new 3DMR project on 3D multi-robot exploration in collaboration with Prof. Rui Rocha, David Portugal, and Tiago
Read moreI am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
Read moreI’m very pleased to serve as a member of the Program Committee of the IRMAS – Intelligent Robotics and Multi-Agent
Read moreI am working hard during my free time and having fun with PLVS to finalize the outcoming paper: PLVS: An
Read morePLVS(*) is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and 3D unsupervised incremental segmentation. PLVS
Read moreFrom May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine
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