zero0f.base.eth @zero0_f
Contributor @AxisRobotics Joined February 2024-
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Dari postingan dibawah kita jadi ngerti kalo @axisrobotics ga cuma nyari lebih banyak data. Tapi jg nyari data yg lebih kompleks, lebih panjang, lebih bervariasi antar robot, dan lebih bernilai buat ngelatih Physical AI
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
Scaling up data from single step to Long Horizon (LH) tasks is a massive leap for robotic foundation models 🧠 The real alpha here is the rollback & save state mechanism in simulation. In the real world, resetting a failed multi stage task is a logistical nightmare. Axis solves this bottleneck flawlessly, driving down the cost of high quality data collection. Plus, moving toward Cross Embodiment means this data is truly generalizable, not locked into one hardware. This is how we build a universal brain for robots. Bullish on this direction
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
Really strong progress this week You can clearly see how the cycle is tightening: cleaner data and more realistic simulations. Leveraging failure data as a learning signal is a smart move. @axisrobotics is building a solid foundation for scalable robotic intelligence.
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
@airdropalert003 Aku sih Axis, karena Robot Axis mampu belajar dari data, mengenali pola, lalu mengeksekusi tindakan secara presisi dan juga ada reward (semacam airdrop) kedepannya untuk yang rajin mengerjakan task.
@BitRobotNetwork @axisrobotics The future of robotics won't be built by a single lab—it will be by global collaboration. Excited to see @BitRobotNetwork pushing open robotics, real-world data collection, and embodied AI challenges that bring researchers, builders, and communities together. @axisrobotics
🚀 BIG REVEAL: THE FUTURE IS HERE! 🚀 Its officially announce the groundbreaking collaboration between Axis robotics And BitRobot Network !!! This is an amazing update, let's build physicaal ai together @BitRobotNetwork X @axisrobotics .
yang belum mempunyai role x-axis kalian masi ada kesempatan nih untuk mendapatkan kode accessnya Bitrobot, ini berakhir tanggal 7 Juni jangan sampai lupa ya broh, ini link nya: atlas3.io/project/axis-r…
Most robotics teams focus on models. @axisrobotics focuses on the bottleneck: data. By turning browser-based simulations into a scalable data network, Axis lets anyone generate robot training trajectories at internet scale. The data layer for Physical AI.
Axis robotics weekly updates...!!! - Axis hub, waiting announcement @axisrobotics referal program championship 2026 Are you winning?
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