Huge thanks sa @axisroboticsPh team for selecting me as one of the first official Ambassadors
Been an OG believer of @axisrobotics since the very beginning grinding through both Beta Test rounds, contributing trajectories, at watching this Physical AI vision grow step by step.
Sobrang honored to join @MonetaGratia15 and @Belzky2 sa next level na ito.
I’ll keep creating consistent content, educating the PH community, pushing daily contributions, at helping onboard more kabayan builders.
Perfect evolution ito para sa isang OG na tulad ko let’s make Physical AI the biggest thing sa Philippines!
Grateful for the trust let's keep building trajectories and training the future🫡
Axis Robotics Philippines 🇵🇭 – First Ambassador Line-up
A strong community is never built by one person alone, but by individuals who believe in the future of Physical AI and are committed to creating long-term impact together.
Today, @axisrobotics proudly introduces its first 3 Official Ambassadors for the Philippines community:
@MonetaGratia15 — The Live Streamer
@Belzky2 — The Referral Queen
@Chunkyweb3 — The Content Creator
These ambassadors represent the beginning of Axis Robotics’ journey toward strengthening and expanding the Physical AI movement within the Philippines 🇵🇭
More than simply sharing information, they will play an important role in educating, connecting, and empowering the community while helping grow the Physical AI ecosystem locally.
And this is only the beginning.
Keep contributing. Keep building. Keep growing with the community because the next Axis Robotics Ambassador could be you.
#AxisRoboticsPH
This is huge fr
Long-horizon tasks with proper subgoal decomposition and cross-embodiment support will create way richer training signals
Love seeing the shift toward more realistic, coordinated behaviors instead of isolated actions
The sim advantages for resets and staging make perfect sense too
Axis is leveling up big time
Moving from basic pick-and-place to real long-horizon + bimanual + cross-embodiment data
is exactly how you build actually useful robot foundation models
The staged checkers in sim sound especially smart for keeping data quality high without insane real-world reset costs
This is the kind of infrastructure play that separates the winners keep cooking team @axisrobotics
We recently launched a new set of robotic data collection tasks, with a focus on long-horizon tasks (LH) and cross-embodiment tasks (Multi Embodiment). These include bimanual teleoperation and task adaptation across different robot morphologies.
Why this matters:
1. Axis is moving toward more complex, real-world robotic tasks.
2. Long-horizon tasks make complex data collection more scalable in simulation.
3. Staged checkers turn long tasks into clearer training signals.
4. Cross-embodiment tasks help Axis support multiple robot forms and control modes.
5. Axis is improving both the diversity and complexity of data.
6. The goal is not just more data, but more valuable data.
Details below. 🧵
Big news dropped yesterday with @axisrobotics and @BitRobotNetwork partnership
They launched SN/04 web-based robot tasks in simulation
complete missions → create training data → get rewards from both projects
No SOL gas
Super Easy
Tasks drop daily
Why it’s cool:
➡Real human input makes robots smarter
➡Works on browser only
➡Ongoing collab means more tasks coming
➡Access codes available check AXIS Robotics Discord (x, y and z-axis role holders get guaranteed code via discord ticket)
Axis is making robot training open to everyone.
want to try?
Go to: https://t.co/ZnBu1eOfSN
Follow @axisrobotics for codes and updates
Announcing our collaboration with @BitRobotNetwork!
Axis is launching SN/04 on BitRobot, the open robotics lab on Solana that coordinates distributed contributors to accelerate Physical AI research.
SN/04 is a teleop-in-sim mission where contributors complete web-based robotics simulation tasks, generate valuable training data, and earn rewards from both ecosystems.
Together, we’re scaling human demonstrations for Physical AI — powered by everyone.
Rules and details below ↓