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 शामिल हुए Ekim 2025
13 फ़ॉलोइंग1.6K फ़ॉलोवर्स
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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·
We want to share a quick update with everyone. Over the past period, we've been dealing with a few critical challenges on our side that slowed things down more than expected. That said, the project is alive, the vision hasn't changed, and work will continue. We're currently stabilizing things internally and preparing to move forward step by step. Your patience and support genuinely mean a lot to us during this phase. 🤝
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Forma Robotics रीट्वीट किया
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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