Spatial Intelligence to perceive the real world multiset.ai/
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Adding 4D location and time to each capture on the site across splats, digital twins and meshes
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MultiSet AI retweeted
Added a 360° camera on top of the Go2 to improve localization robustness through multi-viewport observations.
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MultiSet AI retweeted
A robot's first job on boot is working out where it is.
SLAM does that by exploring. A shared map does it from one frame with @multiset_ai.
Around 95% of what a robot does in a facility is travel to and from a location.
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Launching the MultiSet Python package for @UnitreeRobotics Go2. It works with the existing onboard camera to correct odometry drift using MultiSet VPS localization.
github.com/MultiSet-AI/multi…
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Camera pose estimation at its peak!
Hundreds of 2d photos lifted into 3d. Left exactly when and where they happened at TED.
Now I can fly through this spatial memory palace and jump between moments -- from the green room to backstage to the main stage.
Imagine your entire camera roll coming to life like this.
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MultiSet AI retweeted
Two corridors in the same plant look identical to a camera.
Most VPS does not fail there. It returns a confident wrong pose and sends a technician to the wrong asset. @multiset_ai
Repeating geometry is not an edge case. It is what industrial space looks like.
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MultiSet AI retweeted
We ran an experiment at a live show at the California Theatre: find the 3D location of every photo taken during the event.
Live shows are one of the hardest environments for a VPS. Low light. Smoke. Strobes. Almost every photo pointed at the performer. Hundreds of people moving through the frame.
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MultiSet AI retweeted
watching niantic go from pokemon go to selling maps to robots is the most interesting pivot in tech. they figured out a decade ago the game was never the product, the map was. @multiset_ai was right all along
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MultiSet AI retweeted
Literally any skyline photo from your window is giving away your exact address.
Check out these photos I took around Austin, precisely geolocated by matching pixels against a 3D scan.
The most insane match was a photo I took inside a high rise looking down. It nailed the exact balcony.
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MultiSet AI retweeted
We just released @multiset_ai VPS Gen2, built for cross-modality localization: localizing camera images against 3D map tiles, Gaussian splats, and other 3D representations.
This opens VPS up to existing GIS data. No remapping with image-based capture required.
The videos below show it in action: a photorealistic 3D tile as the map input, and a handful of images captured by a reviewer years apart, all localized against that tile, powered by VPS Gen2.
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MultiSet AI retweeted
Same map. Same building. Day and night.
@multiset_ai localizes the same physical space across lighting conditions, so a robot or pair of smart glasses knows exactly where it is at noon or midnight.
Lighting changes. The map doesn't. That's what physical AI needs to actually work in the real world.
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MultiSet AI retweeted
Anchor 360 videos, Gaussian Splats and LiDAR data to the physical world
Reality capture shouldn't end at a high-fidelity model of the world
With @multiset_ai , we make reality trackable for precise 6DoF tracking across phones, glasses, and robots.
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MultiSet AI retweeted
We're excited to welcome @multiset_ai to the #XGRIDS #LCC2 ecosystem. MultiSet gives every robot, drone, and worker a shared, precise map of the physical world — independent, deployable anywhere, with no lock-in.
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We are thrilled to announce that MultiSet has won the Auggie Award for Best Developer Tool! 🏆 A huge thank you to the incredible community of creators deploying our visual positioning technology in real-world environments.
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