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 moreWaymo has unveiled the Waymo World Model, a next-generation simulation platform built on Google DeepMind’s Genie 3. This frontier generative
Read moreFigure AI has announced Helix 02, a new AI control system for its humanoid robots, detailed in a post published
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 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 moreIf you are visiting Rome, now you can go to the Circus Maximus and enjoy a great Mixed-Reality experience. An
Read moreOn February 2019, I was the teacher of the course Visual Perception and Spatial Computing in the Advanced School of AI. This school
Read moreMicheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
Read moreIn this post, Alejo Concha Belenguer presents his new work RGBDTAM. This is a direct SLAM pipeline that runs in real-time and
Read moreThis post reports that a self-driving Uber car was involved in a high-speed crash in Tempe, Arizona. No one was
Read moreUsing Microsoft HoloLens, 24,000+ service technicians of Thyssenkrupp will be able to visualize and identify problems with elevators ahead of
Read moreFrom Google+, Davide Scaramuzza presents his last work on perception aware path planning for quadrotors. “I am happy to share
Read moreIt was a great life experience being part of the TRADR team who successfully deployed two UGVs and three drones
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