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Announcing a new Memory system for robots on Dimensional Robots in production generate thousands of hours of video, lidar, odometry, far too large to fit into your Agent context SpatialMemory2 builds a multimodal data store in latent space for your Agents Fully open source
228,761 Aufrufe • vor 6 Monaten •via X (Twitter)
16 Kommentare

the future of AI is NOT chatbots, but AI creating actions THROUGH ROBOTS! I love your work. this will fuel this revolution!

woah. lfg.

Great! Thankyou. Cute tangible interface

super cool!

cool. could you somehow use this on a drone so i could clean gutters? lol

SpatialMemory2 builds a multimodal data store in latent space for robot agents. Thousands of hours of video and lidar finally fitting into context. Open source! 🔥 #SpatialMemory2

WOW this literally looks like iron man’s lab

This just like Black Mirror!

persistent spatial memory is the missing layer. context windows were never built for production robots.

This is nice.

brilliant spatio-temporal angle mate pre-computing embeddings/cosine makes it perfect for multimodal queries. let’s go!

Amazing - the memory is currently one of the most missing pieces. Especially interesting about storing it in latent space. I must see what the representations look like. Kudos for opensourcing!

cool

that looks so cool

@humandroidinc

Curious how SpatialMemory2 handles temporal decay. Robot context shifts a lot: lighting, scene rearrangement, objects moved between sessions. Does the latent store age out stale embeddings, or is it weighted by recency at query time? Asking because we ran into this on textual agent memory. Without some kind of forgetting, the store gets noisy fast.

