Jay

Welcome to the new world

Our beta test pre-launched for community members with 27 tasks during the Spring Festival. Within just 5 days, it collected over 100,000 valid data trajectories and engaged 18,000 participants.

We have seen rapid progress in humanoid control — specialist robots can reliably generate agile, acrobatic, but preset motions. Our singular focus this year: putting generalist humanoids to do real work. To progress toward this goal, we developed SONIC (nvlabs.github.io/GEAR-SONIC/), a Behavior Foundation Model for real-time, whole-body motion generation that supports teleoperation and VLA inference for loco-manipulation. Today, we’re open-sourcing SONIC on GitHub. We are excited to see what the community builds upon SONIC and to collectively push humanoid intelligence toward real-world deployment at scale. 🌐 Paper: arxiv.org/abs/2511.07820 📃 Code: github.com/NVlabs/GR00T-W…

Before a robot ever touches the real world, it should already know how to survive in it. That’s what @axisrobotics is doing, teaching robots in simulation so they can practice safely at scale, then transfer that learning to real life. Join the movement 👇🏻 website : axisrobotics.ai playground: littleprince.axisrobotics.ai community: discord.gg/axisrobotics @axisrobotics @Rainhoole @0xzagen @Siomayikan69 @0xsexybanana @chris_anm01 @plpiaoliang @plpiaoliang @jayaxisai

I see this experiment as a clear “closed-loop” milestone on the Axis AI path: a low-friction interaction interface captures human intuition and control skills, and those trajectories then improve both the policy and the data-collection pipeline. That makes each new round easier to collect, higher quality, and effective across more situations What’s technically exciting is that community contributions don’t just add volume, they naturally produce a wide range of behaviors. As we complete domain randomization and make scene and object variation systematic, these trajectories shift from “it works in this exact setup” to “it works across various setups,” which is the key step from demonstrations to generalization, and from a single task demo set to a scalable data engine. In AI and robotics, continuously producing large-scale, broad-coverage interaction data is still rare. Our goal is to make it reusable infrastructure, not a one-off demo.

an investigation on axis robotics as my custom, i did an investigation on axis 1. official website for axis robotics LinkedIn profiles i seeked shows already axis robotics web2 companies and 3 axis robotics profiles 🔗axisrobotics.]ai (axis site) 🔗axisrobotics.]com.]br 🔗axisrobotics.]co they actually have a website 2. no github repository, documentation or gitbook reference from their site the gitbook provided is not redirecting to anywhere confirm here: 🔗 axisrobotics.]ai/#]documentation (remove ]) 3. marketing strategy the marketing strategy they are using has been seen before and have always ended poor what are they: - easy to scoop discord roles - ambassador form (within 3 months of being live) 4. no team info currently the only team member seen publicly is @: plliaoliang no other team members are public 5. no roadmap for the maintime, i will stop any interaction with axis ps: plpiaoliang once asked for a dm (which i gave, and he gave me a discord role) made me sense something wrong though 6. little prince site this is found nowhere on crt.[sh probably things like this can be hosted with wordpress, hostinger or even bluehost while, i am waiting for team to do due diligence i will pause interactions for now

The real intelligence comes from all and serves all, from a rose. Join us at littleprince.axisrobotics.ai !

robotics intelligence comes from all, serves all. littleprince.axisrobotics.ai

Gamifying teleoperation is a great way to get more people involved But if getting started needs a 3D-printed “joystick”, and there’s no incentive, people are hard to stick with it We are building an organic loop to lower the activation energy and unleash the power of everyone