ryztxs

No body

Contributor @AxisRobotics

[ryztxs @ryztxs19]

Sukses amankan Seed Funding $12M dipimpin oleh @hack_vc & investor top lainnya. Mari kita bedah mesin di balik layar @axisrobotics !

Axis bukan cuma platform data biasa, tapi sebuah arsitektur canggih yang menggabungkan DePIN, Web3, & Physical AI

Yuk kita deep dive sistemnya!

[ryztxs @ryztxs19]

@plpiaoliang gAxis 🔥🔥🔥

[ryztxs @ryztxs19]

Untuk rekaman ulangnya bisa didengarkan dibawah ini ya 👇
https://t.co/Dkvs5VdJ6H

[PL 漂亮 (✱,✱) @plpiaoliang]

https://t.co/IsVBYUluMS

[ryztxs @ryztxs19]

Merapat guys! @axisrobotics bakal mengadakan X Space seru bareng @blocmates, @BitRobotNetwork,
@PrismaXai, & @FabricFND buat bahas masa depan robotika!

Kabarnya bakal ada bagi" kode akses terbatas buat para pendengar 👀 Sikat! 🔥

Set reminder jadwalnya:
https://t.co/ZJdabfRD00

[Axis Robotics @axisrobotics]

Robotics is moving fast. But how close are we to its GPT-1 moment—and what’s still missing?

Axis is hosting an X Space, co-hosted with @blocmates and joined by @BitRobotNetwork , @PrismaXai , and @FabricFND , to discuss what it will take to get there.

We’ll also share a limited number of access codes with listeners during the Space. 👀

Join us on Friday, July 31 at 11:00 AM PT / 6:00 PM UTC.

Set your reminder:
https://t.co/N8BnoiAJiv

[Axis Robotics @axisrobotics]

COOKING

[ryztxs @ryztxs19]

@PavelRyan_ Nice article bg pavel

[ryztxs @ryztxs19]

@axisrobotics @blocmates @BitRobotNetwork @PrismaXai @FabricFND Can't wait, lfg 🔥

[ryztxs @ryztxs19]

Bukan cuma platform biasa! @axisrobotics membedah 4 produk utama mereka dalam satu siklus mesin data:

1/ Task Gen Engine (Simulasi otomatis via Prompt)
2/ Browser-based Data Collection
3/ Mobile Egocentric App (4D Motion Capture)
4/ Data Processing Pipeline

Masa depan robotik!

[Axis Robotics @axisrobotics]

So what are we actually building at Axis Robotics?

Four products, one compounding loop:

1. Task Generation Engine (live)

Give it a prompt like:

“A study desk with a pour-over kettle, a hand-crank coffee grinder, a coffee mug, a notebook, and a pen.”

The engine turns that single description into a scalable family of ready-to-teleoperate simulation tasks—automatically selecting assets, composing scenes, sampling layouts and object positions, and configuring physical conditions.

The same process systematically expands diversity across scenes, object types, spatial layouts, robot embodiments, semantic variations, and visual conditions.

2. Simulation Data Collection Platform (live)

Our browser-based platform lets contributors teleoperate simulated robots without installing a local simulator or owning specialized hardware. Tasks can be distributed across a global contributor network, turning sequential lab collection into a massively parallel data stream.

The platform supports two complementary workflows:

- Full human demonstrations for large-scale pretraining
- Human-gated corrections during policy rollouts for post-training

Simulation provides synchronized observations, robot states, actions, and success signals—creating structured supervision that can be validated and processed for policy training and evaluation.

3. Mobile Egocentric App (coming soon)

The app is designed to capture first-person human activity across everyday routines and specialized industries. Collection setups are modular, ranging from smartphones to multi-camera headbands, with optional wrist cameras and grippers.

Our pipeline reconstructs 4D hand motion and pairs it with language and subtask annotations, producing model-ready data.

4. Data Processing Pipeline (live)

For simulation data, the pipeline validates task success, filters corrupted episodes, removes idle segments, smooths motion, and resamples trajectories to consistent control frequencies.

Clean trajectories can then be replayed with randomized cameras, lighting, textures, layouts, object poses, mass, and friction—producing diverse multimodal data with aligned observations, states, actions, language, and success labels.

For egocentric data, the pipeline supports video segmentation, 4D hand-pose reconstruction, and aligned language and subtask annotations.

These are not four standalone products.

- Task generation turns data requirements into scalable task families.
- Simulation and egocentric collection produce complementary forms of data.
- Processing makes them training-ready.
- Model deployment and failure feedback reveal what should be collected next.

Together, they form the Axis compounding data engine—a full-lifecycle data infrastructure for pretraining, corrective post-training, and continuous policy improvement.

[ryztxs @ryztxs19]

@axisrobotics Axis is cooking

[ryztxs @ryztxs19]

@axisrobotics @JiachenLi8 Welcome prof

[ryztxs @ryztxs19]

@PenaaaSf Sudah saatny join axis

[ryztxs @ryztxs19]

@akundiyi6 @axisrobotics @PrismaXai gAxis, great collab

[ryztxs @ryztxs19]

@adelardralph @axisrobotics @hack_vc Ini lah saatnya

[ryztxs @ryztxs19]

@unad2002 @axisrobotics gAxis sir

[ryztxs @ryztxs19]

@cipherr_exe Langsung aja nih buruan ikutan yg blm punya kode

[ryztxs @ryztxs19]

@Hamza_Abi16 @axisrobotics Information received, gAxis

[ryztxs @ryztxs19]

@xintex21 Nice article , gAxis

[ryztxs @ryztxs19]

@elneno13nhtw @AxisRoboticsID @axisrobotics Good writing rara , gAxis 🔥

[ryztxs @ryztxs19]

@Ghina8299 Good information dan nice writing kak ghina

[ryztxs @ryztxs19]

Gabungan DePIN, simulasi WASM, dan insentif on-chain membuat Axis menjadi global data engine paling scalable untuk Physical AI

Yuk gabung di https://t.co/3dU3xjurpp dan bangun masa depan robotika bareng-bareng!

[ryztxs @ryztxs19]

Sukses amankan Seed Funding $12M dipimpin oleh @hack_vc & investor top lainnya. Mari kita bedah mesin di balik layar @axisrobotics !

Axis bukan cuma platform data biasa, tapi sebuah arsitektur canggih yang menggabungkan DePIN, Web3, & Physical AI

Yuk kita deep dive sistemnya!

[ryztxs @ryztxs19]

Semua bukti orisinalitas data (data provenance) dan kontribusi dari kita tidak disimpan di server gelap, melainkan dicatat secara on-chain di jaringan @base!

Ini menjamin transparansi penuh, keamanan data, dan distribusi insentif yang adil bagi ekosistem.