apeytavin
Joined 4 years ago
Joined 4 years ago
As for humidity, we don't have a sensor for it yet BUT the platform was made to be extensible specifically for this so it's easy to add one (see https://docs.innate.bot/main/robots/mars/extending-mars)
Thank you!
Happy to have you onboard!
This kind of architecture is very similar to what Physical Intelligence used for Pi-0.5 (a VLM triggering a VLA in different areas), albeit to a smaller size for now.
You can also see some example (autonomous!) use-cases here: https://docs.innate.bot/welcome/mars-example-use-cases
But the interest of it is how it is packaged and that it can be triggered by this VLM-based agent called BASIC that we created.
This agent has a special kind of architecture which gives it spatial memory, capability to react in time, and ability to navigate. This means that skills can be triggered in the right place at the right time, like a true entity. BASIC can interrupt skills in execution depending on how you configure it. So that if it's chilling navigating around and it sees you, it would interrupt navigation and get to you, shake hands and ask if you need help instead of finishing the task without reacting.
Hope this helps!
There is also a possibility for it to tip the base if the arm is fully extended. And the SO-101 has quite poor repeatability.
The base is also slow to move, and depending on which surface you are the omniwheels can get dirt in quickly.
Finally, external compute means you need in particular to teleoperate from your computer, so you have to be far from the robot and not necessarily in the same orientation than it which is very, very uncomfortable. This app system we made is one of the things people love the most about MARS.
Ah, and RGBD really does matter for navigation AND for learning (augmenting ACT with depth yields better results).
The wheels are indeed these ones, and the camera on the video is a luxonis oak-d wide, pretty expensive but comfortable to work with. However, the version we're shipping includes a much cheaper stereo-depth camera that we calibrate ourselves - I can't get you the reference right right now cause it's late at night but feel free to reach out on discord
For this one, it's just the only feasible way we found to bring the kind of experience we created to folks.
This one is really, really convenient and intuitive. Turn it on anywhere, even outside, it just works. Even when I want to dev on it, it's super convenient.
On some level I truly believe robotics has to become more "complete", we can't always just piece things together, it makes it very hard to have a beautiful product.
I realize this is more of a philosophical answer, but I also think it is the right one to take this field to the next level
And yeah, I agree this mid-market is indeed tough, but this is the upper price I was looking for when I started with my AI background and bought a similar-price turtlebot then struggled to put a cheap arm on it. Anything under this is really bad for algorithms, although you can reduce it with just the arm and clamping it to your workspace as you suggested but then you don't have mobility.
I will keep your comment in mind, and thank you for the thoughtfulness. You might be interested to know that we intend to show something bigger not long from now. But this is, as you said, more for investors.
For now I'm content if there's enough people that want this one
https://docs.innate.bot/main/welcome/mars-example-use-cases
I take from your comment that the full capabilities of the robot are not properly represented and I take a note to film longer ones. And it can definitely do what you just asked. And multiple times in a row. I will note that it depends on the training quality of course.
On speed of movement, I now realize we didn't mention it anywhere so I added it in the overview but it's pretty fast. 0.7m.s-1 for the base, and the arm can be tormented quite a bit. Just took this video for you:
Not to say I dismiss the comment, definitely looking at it cause it might come from somewhere else. Just that I yet don't see what is the bottleneck.
I have been running performance checks during the morning and tried with other browsers, used the debugging tools. I can see why it could be slow but I definitely need more trials to understand where it comes from. Bear with us while we're on it :)
and as i said earlier, this is really helpful for us to know so thank you
You can see however in these demos: https://docs.innate.bot/main/welcome/mars-example-use-cases
that it is indeed pretty smooth.
Also, sorry the arm specs were not there! You can now have them at: https://docs.innate.bot/robots/mars/arm