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Today, we are announcing GroundedSLAM. LaMAria is the most difficult egocentric SLAM benchmark to date. We are the first to close the gap on Aria’s SLAM and eclipse all other methods by a wide margin. SLAM is the foundation of all 3D estimation. We think this is a big... show more
98,577 просмотров • 4 дней назад •via X (Twitter)
Комментарии: 7

GroundedSLAM is accurate locally and maintains its quality over long trajectories and difficult scenes. Other methods drift by >5m and deteriorate completely. Reliable SLAM is essential for robotics. Even slightly inaccurate head poses completely ruin mm-precise hand labels.

What GroundedSLAM gives you: - Single estimator = metric-scale from natural sensor fusion - Online calibration = sub-centimeter accuracy in manipulation settings - GPU-accelerated frontend for real-time estimation - Offline BA to correct estimator drift

Today, GroundedSLAM is unlocking applications across robotics, 3D scene reconstruction, real-to-sim, and world modeling by accurately estimating humans, objects, and environments.

Most importantly, our state-of-the-art egocentric SLAM is accessible to anyone today! Get a RoboCap and try it out with Grounded API at

Better SLAM = better robot training data. Congrats on releasing this for RoboCap users!

How much of the benchmark gain is already present in the online output, before offline correction? That split would help show where it fits: live robot control, training data, or both.

Do we need a cap for an invite code? How do we try

