Links

• Dalù Decò website

News About Me

pySLAM v.2.10.0 – A Hybrid Python/C++ Framework for Visual SLAM and 3D Perception
RSS 2025 Workshop: Unifying Visual SLAM – From Fragmented Datasets to Scalable, Real-World Solutions
A new release of pySLAM is here. Loop-closing, volumetric integration, depth prediction and more improvements.
pySLAM v2.1 is out
PLVS code released

Blog

DreamDojo: Scaling Robot World Models with 44,000+ Hours of Egocentric Human Video
Probing the 3D Awareness of Visual Foundation Models
Waymo has unveiled the Waymo World Model
Figure AI Announces Helix 02 – a General-Purpose Humanoid System
Genie 3 – AI That Builds Worlds from Words

Tags

2D to 3D 3D reconstruction 3d scene understanding AI augmented reality business CNN computer vision data analysis dataset deep learning disaster robotics drones energy features Foundation models generative AI gps image processig inertial interactive AI lidar machine learning mapping math multi-robot NN open source perception place recognition robotics self-driving car sensor-based motion planning sensors sim-to-real simulation SLAM TRADR UGVs USAR video generation visual localization visual servoing VR world models

Tweets

Retweet on Twitter Luigi Freda Retweeted

Frank Dellaert @fdellaert ·

10 Mar

GTSAM now has a small hierarchy of Kalman filters for states that live on manifolds and Lie groups:
ManifoldEKF -> LieGroupEKF -> InvariantEKF -> LeftLinearEKF
The key idea is simple: keep the state on the manifold, but do uncertainty propagation in the tangent space. For

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Retweet on Twitter Luigi Freda Retweeted

Junyi Zhang @junyi42 ·

9 Mar

𝗢𝗻𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗻’𝘁 𝗿𝘂𝗹𝗲 𝘁𝗵𝗲𝗺 𝗮𝗹𝗹.

We present 𝗟𝗼𝗚𝗲𝗥, a new 𝗵𝘆𝗯𝗿𝗶𝗱 𝗺𝗲𝗺𝗼𝗿𝘆 architecture for long-context geometric reconstruction.

LoGeR enables stable reconstruction over up to 𝟭𝟬𝗸 𝗳𝗿𝗮𝗺𝗲𝘀 / 𝗸𝗶𝗹𝗼𝗺𝗲𝘁𝗲𝗿 𝘀𝗰𝗮𝗹𝗲, with

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