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pj_mukh 1 days ago [-]
Super cool! How do you think you will want to sell these into robotics teams, I find so many core engineering teams in Robotics companies have a "we'll just build it ourself" attitude around tools like this.
Have you had luck cracking past that?
kstonekuan 1 days ago [-]
We have had this same experience, and it's a big reason we chose to go open source and make it easy for teams to migrate their business logic onto our SDK instead of requiring them to adopt a new system. By targeting a more foundational layer, we aim to be a part of that "built it yourself" system instead of replacing it.
a_t48 1 days ago [-]
This is a strategy I’m taking as well. Build the tooling that can be integrated into anyone’s platform, over some all in one system that inevitably won’t check all the boxes.
kstonekuan 1 days ago [-]
Yes, especially in a field moving as fast as robotics, users need the flexibility to extend the system quickly
ZeroCool2u 1 days ago [-]
I'd be interested in using this with something like the new HuggingFace robots. Do you have demos showing how to go from HFlow dataset to training to deploy?
kstonekuan 1 days ago [-]
Love those robots! Unfortunately, we don't support the training and deployment side yet as we are focused only on data processing for now.
heyitsguay 17 hours ago [-]
Creating a basic ergonomic example of the full train/deploy loop, using your data engine, for a popular platform in the zeitgeist, will give you a traction boost.
You don't have to innovate on the parts outside your core competency. Have your favorite LLM ingest the Reachy docs, give it control of a robot, and put a lightweight example together. Iterate till you like the example flow and you've purged docs and output text of AI slop, then release!
kstonekuan 16 hours ago [-]
Thanks for the advice, we'll definitely consider an example like this.
dostick 1 days ago [-]
How robitics may be “scalable”?
pelagicAustral 1 days ago [-]
Build a software implementation, lets call it The Matrix. Feed it to unknowing organic vessels, lets say Humans. Make it so they existence is a soothing mixture of comforting (fabricated) reality and inorganic desires. Extract power from these vessels. Make more robots. Profit.
kstonekuan 1 days ago [-]
Our users process thousands of hours of data used in robotics model training, that's when they need scalable infrastructure to handle the workloads
Have you had luck cracking past that?
You don't have to innovate on the parts outside your core competency. Have your favorite LLM ingest the Reachy docs, give it control of a robot, and put a lightweight example together. Iterate till you like the example flow and you've purged docs and output text of AI slop, then release!