The system integrates SLAM, loop closure, and path planning.
San Francisco Innovation in Robotics.
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.
Users are excited about the open source robot navigation framework on $500 hardware because it avoids ROS and supports quick building with the new release.
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@stash_pomichter @dimensionalos no ROS you say? I already love it
3/ Full stack robotics companies today build navigation from scratch for their custom hardware. Local/global planning, trajectory control, recovery behaviors, SLAM, much more
Developers on dimOS can now strap a cheap lidar to ANY robot & save 6 months of nav engineering
⬇️: loop closure & relocalization tuning with apriltags
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.
@panzonhl @dimensionalos are u sure
2/ Robust navigation is a key requirement to deploy humanoids and quadrupeds in production
Current nav frameworks work in the lab but fail as you scale to large maps, multi-day sessions, multi-story deployments…due to map drift, 2d only, static/not updating, requires premap
4/ We extend loop closure (from above) to also work on geometric and semantic features at any dynamic set of intervals.
runs both synchronous and async depending on compute constraints.
each line is a loop closure event and shows the delta in old path → fixed path
@dimensionalos Dimensional v0.0.13 has dropped. Get building 🦾🔥
https://github.com/dimensionalOS/dimos/releases/tag/v0.0.13
@Scobleizer come by our new office!!
@stash_pomichter @dimensionalos cross-session memory is the right hard problem, but relocalization isn't where it breaks. staleness is: the map's from last session, a chair moved, and the robot trusts a world that's gone. catching stale memory beats storing it. https://s4l.ai/r/jw9t8w7d
@stash_pomichter @dimensionalos 🔥
@stash_pomichter @dimensionalos hey, can we talk in dm's about dimensional please? I just dmed you and suggest you a thing please take a look, (I am not a bot/scam)
@dimensionalos 5/ With multi-story planning and trajectory control supported across all embodiments
More tooling coming soon to allow agents/autoresearch to fine tune trajectory config hyperparameters on a replay so developers don't have to tune manually / randomly guess on values
@mourad_zauo @dimensionalos 🤠
@stash_pomichter @dimensionalos have i been here before..
@stash_pomichter I would love to. I'm going to be in San Diego until the 9th, so after the 10th would make sense.
@Sentdex @dimensionalos pip only ;)
@karolzdeb @dimensionalos yeah using relocalization to solve for / publish accurate transform frames is what we use to fix semantic object map staleness
@stash_pomichter @dimensionalos yes 😂😂😂 take a look
@stash_pomichter @dimensionalos
@Scobleizer I need this for a disc golf caddy
