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Mistral's Robostral Navigate: a state of the art robotics navigation model

https://mistral.ai/news/robostral-navigate/
109•ottomengis•1h ago

Comments

Gecko4072•1h ago
Mistral seems to be going wide and niche. Could be a smart strategy going forward.
fzysingularity•45m ago
Lol, frontier labs realizing that software/models themselves don’t have real moats and move to embodied ai.

Wait till they realize that SOTA 80% means a practically useless robot. What are they really imagining their ICP to be here?

montroser•44m ago
I'm ready for my home helper robot that makes dinner and does the dishes and takes out the trash.

But I'm scared for when those home helpers get drafted to fight in wars, either for or against me...

toyg•34m ago
I suspect the latter will come way before the former...
maelito•40m ago
Was it tested on a road in a car ?
skaiuijing•26m ago
Robots handle clean labs well; messy real‑world environments are still the real bottleneck.
ImageXav•22m ago
Ok, this is really cool. The fact that the robot can use pointing to decide where to go is a great design decision, and robotics really is the next frontier. Definitely cheering on Mistral here!
mhitza•22m ago
For a claim such as state of the art, or claims such as "great at any task" needs something of more substance. I've seen maze-solving robot competitions which can zoom around in seconds. The sped up video in the first part, and the "obstacle avoidance" are too slow for me to believe this is state of the art.

While impressive at 8B, what would the expectation be in real life, that it's run remotely or autonomously with a strapped on GPU and battery?

nancyminusone•7m ago
it is state of the art, those maze solving things are a different art.
mhitza•4m ago
I've used that example as a contrast of what I've seen before. If you can point me at comparable efforts, in the same category as what Mistral is doing, I'd be interested in having a comparative look.

All I can think of are robot dogs, Tesla bots, and whatever flavor of the month Japanese robots show up at trade shows.

mil22•17m ago
> achieves 76.6% on R2R-CE (Room-to-Room in Continuous Environments)

I would like to know what it did the other 23.4% of the time!

semiquaver•10m ago
Presumably it did not make it to the other Room.
heyheyhouhou•15m ago
Maybe their LLMs are not the best but design is top-notch!
jonash54•10m ago
Producing specific niche models for 100 year old industries that have mountains of data and warehouses full of folders will be the european take on AI.

It may come late but it‘ll be safe and reliable. It also requires a lot of OCR.

lumost•7m ago
The Niche model story is still fairly week. Evidence points to general models being equally capable to niche models at a more attractive capex (risk is spread across multiple verticals rather than concentrated in a single model capability)
iandanforth•7m ago
It's implied, and I'm hoping it's true, that this is a map-less navigation. Which is impressive. This kind of task is much easier if you have a pre-captured map of the environment, but if they are doing this without a map it's great. Historically you were always faced with "The Kidnapped Robot" problem where robots that didn't know where they were couldn't navigate even a little bit. Here the robot appears to be able to follow directions as long as they are interpretable from its current vision (or via dead reckoning).
infinito25•6m ago
I love Uniqlo even more after seeing this.

Mistral's Robostral Navigate: a state of the art robotics navigation model

https://mistral.ai/news/robostral-navigate/
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