Exylos

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Exylos

Exylos

@exylos_ai

The Skill Factory for Physical AI. Play robot tasks on your computer. Ship skills robots can use.

Katılım Kasım 2021
261 Takip Edilen255K Takipçiler
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Exylos
Exylos@exylos_ai·
Robots can see the world. They still don't know how to act in it. Every grip, every slip, every save — has to be taught. That data isn't on the internet. It has to be created. EXYLOS — the Skill Factory for Physical AI. Play tasks → Gate quality → Ship Skill Packs Teach once. Train forever. #physicalAi #robotics Two live samples ↓
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Ole Lehmann
Ole Lehmann@itsolelehmann·
Humanoid skills are about to make Claude Skills look like a joke Unitree just launched UNISTORE, an app store for humanoid robots. You can create, publish, buy, and deploy robot skills with one click across all their models. Just the motion library is live right now: basic moves, dances, martial arts, all available as free downloads. It's only out in China now (international coming soon). But the platform move is obvious: Unitree is building the iOS of physical robots. Now imagine what this looks like once it matures: Right now when you download a skill for Claude or Codex, it changes how your AI writes and works inside your computer. It's all just digital output, stuff that happens on a screen. But when you download a skill for a robot, it changes what a physical machine can do in your house, your warehouse, your office. One click and suddenly your robot knows how to make coffee. Another and it's running nightly inventory in a warehouse, sorting and logging without supervision. Another and it's harvesting ripe produce row by row from your garden, adjusting grip pressure for each fruit so nothing gets bruised. We're going from downloading apps for phones to downloading skills for AI to downloading physical capabilities for robots that operate in the real world. Very cool to think about. I made a visual of what this might look like in the future:
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Optimus
Optimus@TeslaAIBot·
Good morning humans 👋 What are you doing today?
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Exylos
Exylos@exylos_ai·
To train a robot, you need recordings of how a task should be done. Right now there are two ways to get them. 1️⃣ Egocentric video: you film a human doing the task and extract data from the footage. Real intent, but raw — no robot trajectories, no depth, heavy post-processing. 2️⃣ Pure synthetic: generate everything in simulation. Cheap and fast, but movements are scripted — no real human thinking behind them. We're building a 3️⃣ option: a person plays a robot task on their computer or in VR — their decisions, timing, and corrections are captured as training data. Simulation then expands that single run into hundreds of variations: different lighting, surfaces, object positions, failure cases. The result is a Skill Pack — a dataset robotics teams can plug straight into their training pipeline. Human judgment at the core, simulated scale on top. #PhysicalAI #Robotics
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Figure
Figure@Figure_robot·
Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…
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Exylos
Exylos@exylos_ai·
@XRoboHub Exactly the kind of task where you can't teleop your way to a training dataset - zero room for trial and error. Capturing human intent in simulation makes sense here.
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RoboHub🤖
RoboHub🤖@XRoboHub·
Let the robot take the risky climb. 🧗‍♂️🤖 RobotPlusPlus just introduced a humanoid special-operation robot for high-risk industrial sites, built on a wheeled magnetic-adhesion base that can lock onto steel walls while it works. Dual arms, swappable tools, one platform: welding, flaw detection, rust removal, grinding, spraying. That is exactly the kind of machine you want in petrochemical plants, shipyards, and energy sites — places where the job still needs to get done, but humans should not have to hang off the wall to do it.
RoboHub🤖@XRoboHub

A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.

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Exylos
Exylos@exylos_ai·
Site: exylos.ai The Skill Factory for Physical AI. Teach once. Train forever.
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Exylos
Exylos@exylos_ai·
How $EXY works → Access skill markets, trainer, curator roles, evaluation work → Stake to submit runs or gate quality (skin in the game) → Earn on accepted runs. Slashed on bad work. → Enterprise pays for Skill Packs — supply meets real demand.
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Exylos
Exylos@exylos_ai·
Robots can see the world. They still don't know how to act in it. Every grip, every slip, every save — has to be taught. That data isn't on the internet. It has to be created. EXYLOS — the Skill Factory for Physical AI. Play tasks → Gate quality → Ship Skill Packs Teach once. Train forever. #physicalAi #robotics Two live samples ↓
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Exylos
Exylos@exylos_ai·
EXYLOS solution: Skill Factory for Physical AI The loop powered by $EXY 1. Trainers play robot tasks from a computer 2. Sim scales each accepted run into 1000+ variations 3. Curators gate quality and execution 4. Skill Packs ship to robotics teams
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Exylos
Exylos@exylos_ai·
The Action Gap. Today's robot data options are all broken: → Teleop farms — expensive, don't scale → Real-world video — shows what happened, not how to act → Pure synthetic — doesn't transfer to real robots
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Unitree
Unitree@UnitreeRobotics·
Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 👏 The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside. Please everyone be sure to use the robot in a Friendly and Safe manner.
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Vad | Exylos Robotics
Vad | Exylos Robotics@vadcrypto·
Would you trust a robot to spend a few unsupervised days in your home right now? Figure's CEO thinks 2026 is the year. But every home is basically an edge case. The harder question is whether any training data today covers that variability. #PhysicalAI #Robotics
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