Forma Robotics

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Forma Robotics

Forma Robotics

@Forma_Robotics

Forma Robotics is creating the world's first decentralized Robotics-as-a-Service (RaaS) network - powered by a modular, open-source robotic arm.

Solana Присоединился Ekim 2025
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Forma Robotics
Forma Robotics@Forma_Robotics·
The Forma Arm is now officially live. This is our open-source modular robotic arm - designed for real-world deployment, affordable fabrication (3D printable), and built with interchangeable joints. The repository includes: • Complete modular CAD files (Base + Link1–Link6 + servo modules) • Circuit diagram • Full Bill of Materials (hardware + servos) • Assembly structure ready for iteration and improvement Everything is open for builders, researchers, students, and anyone who wants to experiment with robotics in a practical way. 🔗 GitHub Repository: github.com/FormaRobotics/… This is the foundation. We’ll continue adding electronics details, improvements, and new attachments as we progress.
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Forma Robotics ретвитнул
Jiaheng Hu
Jiaheng Hu@JiahengHu1·
VLA models are capable generalists. But can they continually self-improve? Such Continual Reinforcement Learning (CRL) problems are traditionally considered very challenging. Surprisingly, we found that with the right setup, the simplest CRL recipe can work really well! arxiv.org/abs/2603.11653
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Steve Dmith
Steve Dmith@SteveDmithx8oi·
@Forma_Robotics Do we have any updates or progress reports to look forward to soon?
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AnthonyTankBryant
AnthonyTankBryant@Anthony41225148·
@Forma_Robotics Ok just a heads it doesn't show that on the Dex as far as the liquidity locked 100% but I love the project and I hope it turns into something great.
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Forma Robotics
Forma Robotics@Forma_Robotics·
Just spotted this - TOPReward is out and it’s really cool! Pull reward signals straight from token probabilities instead of building or tuning a reward model. It was just released and feels like a real shortcut around per-task reward engineering. In the context of Forma RaaS this is huge - as long as the VLM understands the task, we can score it zero-shot without writing a reward for every job. Faster experiments, less engineering, and a cleaner path to deployable task evaluation.
Jiafei Duan@DJiafei

Instead of asking a VLM to output progress, it reads the model’s internal belief directly from token logits. No in-context learning. No fine-tuning. No reward training. 📈 We introduce: TOPReward, a zero-shot reward modeling approach for robotics using token probabilities from pretrained video VLMs. The simplest way of doing reward modelling for robotics! Project: topreward.github.io/webpage/ 🧵👇

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Forma Robotics
Forma Robotics@Forma_Robotics·
Control Stack for Decentralized Robotics 🧠 We’re building a lightweight control layer that: • Handles real-time joint motion and safety • Syncs telemetry on-chain for proof of work & uptime • Collects data for Machine Learning usage privately • Orchestrates tasks through smart contracts and payments Each robotic arm becomes a verifiable service node - the physical equivalent of a validator, earning for performing real-world actions.
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Forma Robotics
Forma Robotics@Forma_Robotics·
At Forma Robotics, we're architecting the complementary layer for exactly this era. Our decentralized Robotics-as-a-Service (RaaS) network - built around the newly live open-source Forma Arm (modular, 3D-printable, interchangeable joints, open-source) - turns individual builders, labs, and operators into permissionless nodes in a global embodied compute and data commons. Key synergies with XR-0-style advances: - Data scarcity → abundance flywheel - Internet video pretraining unlocks initial generalization (as Xiaomi proves), but true robustness demands diverse, task-specific, real-world embodied rollouts. Forma's network crowdsources this at planetary scale: thousands of heterogeneous Forma Arms (and compatible modular embodiments) execute community-defined tasks, generating cryptographically attested trajectories, failure cases, proprioceptive logs, and multi-view videos - all contributed on-chain. - Tokenized incentives & value capture - Node operators earn $FORMA rewards for uptime, high-quality data contribution (e g., novel manipulation episodes for fine-tuning VLAs), distributed inference/compute (policy rollouts, sim augmentations), and task fulfillment. This creates economic pressure for continuous improvement and data diversity far beyond centralized silos. - Decentralized fine-tuning & deployment - XR-0-like VLAs can be hosted/distilled across the network: aggregate on-chain trajectories feed LoRA-style or full fine-tuning runs (via distributed compute), then push updated weights/policies back to nodes. Standardized modular interfaces (kinematics, actuators, sensors) enable cross-embodiment transfer, so a policy learned on one arm variant generalizes across the fleet. - From engineered → learned, centralized → permissionless - We're accelerating the structural shift: robotics as a software-defined, tokenized service layer. No gatekeepers. Community-owned hardware blueprints + open foundation models + crypto-native payments + verifiable data provenance = an infinitely scalable, censorship-resistant embodiment economy. Watch this space. The embodied AI wave is no longer hypothetical - it's open-sourced, decentralized, and compounding. #RaaS #VLA #FormaArm
CyberRobo@CyberRobooo

Humanoid robotics is entering a new phase: Xiaomi Robotics 0 (XR-0) explores learning manipulation directly from large-scale human videos — aligning video understanding with robot embodiment to generate executable actions. Watch humans->learn representations ->map to robot control. Robot data is scarce. Internet video is not. If video pretraining transfers reliably into embodied control, the scaling law of robotics changes. Deployment speed becomes a function of model alignment, not just hardware iteration. We’re moving from engineered skills to learned behavior. That’s a structural shift. project: xiaomi-robotics-0.github.io

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Forma Robotics
Forma Robotics@Forma_Robotics·
The Forma Arm is now officially live. This is our open-source modular robotic arm - designed for real-world deployment, affordable fabrication (3D printable), and built with interchangeable joints. The repository includes: • Complete modular CAD files (Base + Link1–Link6 + servo modules) • Circuit diagram • Full Bill of Materials (hardware + servos) • Assembly structure ready for iteration and improvement Everything is open for builders, researchers, students, and anyone who wants to experiment with robotics in a practical way. 🔗 GitHub Repository: github.com/FormaRobotics/… This is the foundation. We’ll continue adding electronics details, improvements, and new attachments as we progress.
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Forma Robotics
Forma Robotics@Forma_Robotics·
You can access and download all parts directly from the repository.
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Forma Robotics
Forma Robotics@Forma_Robotics·
Next week, we’re releasing the Forma Arm in collaboration with @tnkrdotai. This is not just a release, it’s the beginning of something builders can explore, extend, and build on. More details very soon.
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