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OpenBridge Bridge Builder Program
Co-build Zeroth's Open Foundation for Physical AI The capabilities integrated within a single Bridge hardware unit serve as the starting point for the collaborative evolution of our entire ecosystem. The first 200 spots are now open. We are calling on developers, research teams, and hardware pioneers to break the boundaries between compute and the physical world, collectively driving embodied AI from "single-unit verification" to "full-stack co-development." Application LInks For Geeks / Researchers / Students Open Foundation for Physical AI | The Gateway to Zeroth's Physical AI Ecosystem   Bridge Builders... Read more...
BRIDGE: An Open-Source Humanoid Platform via Morphology–Control Co-Design for Physical AI
Abstract Developing humanoid robots capable of leveraging human behavioral data is essential for general-purpose embodiment, yet conventional development remains bottlenecked by a decoupled paradigm that isolates hardware design from whole-body control. This approach leads to suboptimal systems that compromise human-like fluidity and agility. To bridge this gap, we introduce a data-driven morphology-control co-design framework that optimizes humanoid morphology for human-like movement through a three-stage pipeline spanning anatomical constraints, kinematic criteria, and dynamic criteria. To quantify morphological fidelity, we also introduce two novel metrics evaluating kinematic and dynamic similarity against authentic... Read more...
FlowMimic: Heterogeneous-Command Humanoid Control via Long-Context Flow Matching
Abstract Humanoid whole-body control increasingly relies on heterogeneous body commands from teleoperation devices, motion-capture systems, kinematic motion generators, and high-level robot policies, ranging from dense mocap trajectories to sparse end-effector constraints and generated motion snippets. We introduce FlowMimic, a deployment-time dense-reference-free humanoid control framework that represents these inputs as masked short-horizon body targets and maps them directly to joint-level actions, without constructing command-specific dense full-body references at runtime. FlowMimic instantiates the sparse-command student as a long-context action-space flow policy: an XL-style Transformer parameterizes the conditional flow field over robot history... Read more...
An OpenAI model has disproved a central conjecture
For nearly 80 years, mathematicians have studied a deceptively simple question: if you place nn points in the plane, how many pairs of points can be exactly distance 11 apart?This is the planar unit distance problem, first posed by Paul Erdős in 1946. It is one of the best-known questions in combinatorial geometry, easy to state and remarkably difficult to resolve. The 2005 book Research Problems in Discrete Geometry, by Brass, Moser, and Pach, calls it “possibly the best known (and simplest to explain) problem in combinatorial geometry.” Noga Alon,... Read more...