

Forma Robotics
171 posts

@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.





With both TOPReward and RoboMeter now released, I’m sure people will compare them , and honestly, they’re both strong, just optimized for different goals. For TOPReward, we’re pitching it as a general-purpose reward model that works across robotics and non-robotics. We go from an off-the-shelf VLM like Qwen-VL 3 (which, notably, wasn’t trained on robotics data) to TOPReward with no reward training, no fine-tuning, and no in-context prompting. And have fun building excited to see what people make! But if you’re curious about a simple side-by-side between RoboMeter and TOPReward (implemented by @VilleKuosmanen), check it out 👇


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/ 🧵👇





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





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.

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.




👩🏭:I came, I left, I came, I left, I came, I left... 🤖 During training, operators can use Lite-T teleoperation device to instantly take over the robot or exit model execution at any time, enabling smooth human intervention and reliable real-world data collection. More controllable training, more efficient data acquisition. #Robotics #model #physicalai