Maybe their LLMs are not the best but design is top-notch!
Mistral's Robostral Navigate: a state of the art robotics navigation model
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Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#12Producing 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.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#13> 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!
Presumably it did not make it to the other Room.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#14Producing 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.
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)
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#15For 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 wit…
it is state of the art, those maze solving things are a different art.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#16It'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).
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#17I love Uniqlo even more after seeing this.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#18For 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 wit…
it is state of the art, those maze solving things are a different art.
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.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#19Producing 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.
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)
It seems like a stronger story for robotics, since smaller models can always react to the environment faster than large models at a given hardware budget. Also because robots that keep their models local for latency or reliability aren't going to be carrying many kilowatts of inference capacity.
Re: Mistral's Robostral Navigate: a state of the art robotics navigation model
#20This looks to not be an openly available model, but I think if it were, availability of an easy single-camera navigation setup could allow for a lot of cool hobbyist projects.