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Today we’re announcing microSLAM, the new state-of-the-art in monocular SLAM from human egocentric video, built by our Zürich-based computer vision team in collaboration with the ETHZ Computer Vision and Geometry Lab, @rohamzn and @Ace3Zi
We are nr. 1 on the LaMAria Benchmark for monocular SLAM, and one of the best SLAM systems built so far, when taking into account any amount of cameras and any amount of IMUs (with just monocular RGB)
microSLAM turns plane monocular video into fully interactive 3D environments, so called RL environments, which teach state-of-the-art behavioral foundation models to understand their surroundings, navigate across factory floors and become experts at the industrial use cases our clients care about.
These results mark a foundational step toward our goal of deploying a billion robots worldwide, bringing the value from foundational models to the physical world.
Check out the article on our website to dive deeper into microSLAM’s design and performance.
We will release the microSLAM paper and code in the near future, providing the community with a reproducible foundation to evaluate, extend, and build on this work.
We are nr. 1 on the LaMAria Benchmark for monocular SLAM, and one of the best SLAM systems built so far, when taking into account any amount of cameras and any amount of IMUs (with just monocular RGB)
microSLAM turns plane monocular video into fully interactive 3D environments, so called RL environments, which teach state-of-the-art behavioral foundation models to understand their surroundings, navigate across factory floors and become experts at the industrial use cases our clients care about.
These results mark a foundational step toward our goal of deploying a billion robots worldwide, bringing the value from foundational models to the physical world.
Check out the article on our website to dive deeper into microSLAM’s design and performance.
We will release the microSLAM paper and code in the near future, providing the community with a reproducible foundation to evaluate, extend, and build on this work.
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