Join the event here discord.gg/dimos

Community hour on discord🧠🤖 Every Friday 9am PST/6pm CET 📆 This week, @stash_pomichter will talk about the latest release on navigation. Join in, chat, bring your questions. It's gonna be fun, we promise❤️ Whether you're building in robotics, looking to move or just curious, there's something for all.

Announcing the first production robot navigation framework on $500 hardware Explore the world once → your robot agent will relocalize and build a persistant, spatial memory across sessions SLAM, relocalization, loop closure, map i/o, planning, control No ROS. Open source.

5/ Pack Mind won the Navigation track by building an operational memory for a robot pack. Simultaneous Localization and Mapping (SLAM) is the go-to technique for a mobile robot to build awareness of an unknown space. It works well for one robot, but gets brittle across a swarm. Merging separate SLAM maps requires recognizing when two robots have seen the same place, then using that overlap to align their maps. A single bad match corrupts the shared map. Merging maps across a swarm (collaborative SLAM) is still an active research problem. Pack Mind coordinates through a shared semantic ledger of zone names and findings, so there's no map to merge and no coordinate frame to align. Because that memory lives in the ledger and not in any one dog, the pack survives failure: a dog drops, its discoveries persist, and a teammate inherits its zones. Congratulations to @sharqwy, and the builders behind Pack Mind 🏆

4/ Fetch is an autonomous brand ambassador: a robot dog that hands out cold Cokes and instant printed photos. A vision model reads the camera on every frame and decides where to move, what to say, and when to take the shot. The team benchmarked vision and speech models to keep the latency around one second. The photo is captured from the dog's camera, composited, and printed into the guest's hands on the spot. Fetch shows how robot agents will deliver enterprise utility in the future, becoming the AI age equivalent of vending machines. Congratulations to @seifip, @Wenjix and @GuoZhuoRan, the builders behind Fetch 🏆

3/ Team Jamjam took the agent track by turning the Go2 into a hall monitor for your focus. It lays out a Marauder's Map of everyone in the room, and you send the hound after whoever's lost in their phone. YOLO-E detection and BoT-SORT tracking feed a DimOS A* planner that drives the Go2 to your target. Congratulations to team Jamjam, the builders behind The Wrath of Filch 🏆

2/ WorldForge took 1st place with a world model that scores candidate robot actions by predicting the future in latent space, then log every decision as a JSON trace. By writing a trace of every move it scores (what it saw, the actions it weighed, and which one it picked), it makes improving the robot's navigation quicker. The predictions happen in latent space, and each trace is the readable receipt on top. Their world model runs DINOv2 and was trained on a Hugging Face dataset of 2,557 frame pairs. A Replay-MPC Arena scores each candidate move on recorded scenes and runs the winner in a MuJoCo simulation. Congratulations to @omarespejel, @AbdelStark and @cvillafraz, the builders behind WorldForge 🏆

How fast can software engineers go from bits to atoms? We ran the 1st in-person dimOS hackathon to find out 15 teams had 48h and 10 Unitree Go2s to deploy code into the physical world. These are our favorite submissions 🧵

Every week new robots integrated by the community!

2/ Shoutout to the team @PimVandenBosch2 and contributors @kevin_zakka for work on mjlab / mink frameworks used here. And as always, fully open source: github.com/dimensionalOS/dim…

Claude Fable 5 integrated reachability analysis into our G1 Manipulation framework Now the humanoid knows what its arms can reach before it ever tries Features: 5D G1 arm capability map in a gravity-aligned built from 2M FK samples per arm with self-collision checking Planning context creation dropped from 100ms to 62µs 14 joint dual-arm control, solving QP differential IK for both arms

Physical space the last frontier for frontier agents 🦾🚀

What happens when you walk a humanoid robot through Times Square? From cops to kids, everyone stops. @UnitreeRobotics Dimensional, live in NYC. Full video dropping soon👀

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I'm looking for a psychotic ex-founder to work alongside me for 16 hours a day and live above the conference room as my Chief of Staff We're scaling team past 50 and we're the best capitalized robotics software / OS in the world DM me a video about why you need this role

An open source developer connecting all types of hardware using DimOS. Snapchat Spectacles Robot dog vibe coded in <1 day. Play with hardware and physical space like connecting lego bricks.

In 48 hours this team used our internal quadruped lidar navigation data to train a JEPA-style world model to learn action latents for monocular navigation None of them had touched robots before this week Millions of developers are moving to program atoms from (commodity) bits

Glad to announce that we won the @dimensionalos hackathon with World Forge project: scoring and planning actions of @UnitreeRobotics Go 2 Robot Dog with a JEPA based world model. Latent space for the win!

The AgiBot X2 Ultra humanoid, only on Dimensional Full SLAM, navigation, multi-camera perception, hosted teleoperation, RL training environments, and an agent-native control interface Developers on DimOS are shipping hundreds of humanoids into production today Get building 🦾

it’s time…. 🦾🔥