HEX is a whole-body vision-language-action framework for full-sized humanoid robots.
LAP: Language-Action Pre-Training Enables Zero-Shot Cross Embodiment Transfer
LocoFormer - Generalist Locomotion via Long-Context Adaptation
Official implementation of the ICML 2026 paper "DiLA: Disentangled Latent Action World Models".
Awesome robot data engines for VLA: collection, synthesis, augmentation, curation, preprocessing, and benchmarks.
Repository hosting the official code of the paper "PCHands: PCA-based Hand Pose Retargeting on Manipulators with N-DoF"
🤖 Explore LocoFormer, a Transformer-XL model that enhances robot locomotion through long-context learning and real-world adaptability.
Curated papers, datasets, systems, and benchmarks for robot data engines across robot-centric, UMI, human/egocentric, and simulation data.
Documentation for a frozen force-control skill that ports across position/velocity-commanded cobots via a locked interface contract. Validated on Kinova Gen3.
X-Embodiment Language-Grounded Manipulation Benchmark: measuring language-conditioned policy transfer between a Panda arm and a Unitree G1 humanoid in ManiSkill3
Paper/Code list of cross-emboided.
Answers whether several robot demonstration datasets can be mixed by inspecting their manifests alone, scoring mixability from action space, control frequency, gripper convention, and metadata gaps.
A versioned, checkable package format for robot skills: strict schema, content-hash provenance and payload integrity, a declared cross-embodiment adaptation contract, safety verification against robot limits and preconditions, and validated composition. Reference CLI and library, no robot needed.
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