Axis is officially LIVE on @base. 🔵
Axis is scaling Physical AI for the real world, contributed by everyone.
You can control robots in a virtual world, generate training data at scale, and help build the brain behind tomorrow's robots. All from browser. No hardware needed.
Start building robotics intelligence today: https://t.co/xeQnZzV2WM
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 ↓
Axis Robotics is actively supporting and collaborating with leading researchers in Physical AI.
If you’re at ICRA or CVPR this week, come connect with our advisors and team at the workshops.
See you in Vienna and Denver.
Axis Weekly
This week was about trust and transfer: making community data cleaner, generated tasks broader, and trained policies more robust as they move from simulation to real robots.
Key updates:
- Data quality: We completed a suspicious-user audit script to detect abnormal collection behavior using user statistics and replay/verify failure reasons.
- Webapp and simulation: We improved key gripper and asset interactions, including penetration, heavy-object grasping, and IK flexibility.
- Recover-from-failure: We tested Failure Task 892 and collected 300+ failure initial states, with the next round moving to repaired and more randomized tasks.
- TaskGen: Articulated-object generation is now merged into the automatic generation pipeline, covering cabinets, dishwashers, drawers, and existing randomization workflows.
- Model and real-world stack: We completed the first round of fine-tuning, evaluation, and benchmarking, merged the π0.5 evaluation pipeline into the real-world stack, and started bringing a new embodiment into the loop.
A closer look at this week’s progress 🧵
Axis Weekly
This week was about trust and transfer: making community data cleaner, generated tasks broader, and trained policies more robust as they move from simulation to real robots.
Key updates:
- Data quality: We completed a suspicious-user audit script to detect abnormal collection behavior using user statistics and replay/verify failure reasons.
- Webapp and simulation: We improved key gripper and asset interactions, including penetration, heavy-object grasping, and IK flexibility.
- Recover-from-failure: We tested Failure Task 892 and collected 300+ failure initial states, with the next round moving to repaired and more randomized tasks.
- TaskGen: Articulated-object generation is now merged into the automatic generation pipeline, covering cabinets, dishwashers, drawers, and existing randomization workflows.
- Model and real-world stack: We completed the first round of fine-tuning, evaluation, and benchmarking, merged the π0.5 evaluation pipeline into the real-world stack, and started bringing a new embodiment into the loop.
A closer look at this week’s progress 🧵
🍕 Recap Axis Robotics: Memory of Pizza - Jakarta, 25 Mei
Terima kasih kepada seluruh Builders, Founders, KOL, dan Contributors yang telah hadir! Ruangan penuh dengan energi dan obrolan daging seputar masa depan Psyhical AI.
Mari terus membangun! 🦾
Event Partner : @0xRememberUs@indodax@IDBWOfficial@baseindo