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pj_mukh 11 hours 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 10 hours 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 10 hours 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 9 hours ago [-]
Yes, especially in a field moving as fast as robotics, users need the flexibility to extend the system quickly
ZeroCool2u 10 hours 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 10 hours 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 2 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 9 minutes ago [-]
Thanks for the advice, we'll definitely consider an example like this.
dostick 12 hours ago [-]
How robitics may be “scalable”?
pelagicAustral 12 hours 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 11 hours 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!