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NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
The main features of declare-lab/nora-1.5 are: Embodied Foundation Models.
Projects with overlapping indexed features include: alibaba-damo-academy/worldvla — RynnVLA-002: A Unified Vision-Language-Action and World Model. amap-cvlab/abot-manipulation — ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning. arashakb/actquant — Official implementation of ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models. beingbeyond/being-h — Being-H is BeingBeyond's family of human-centric embodied foundation models. beingbeyond/being-h0 — Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos (ICML 2026). agibottech/genie-envisioner — Join our WeChat Group.
RynnVLA-002: A Unified Vision-Language-Action and World Model
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
Official implementation of ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models
