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RxBrain achieves a groundbreaking integration of language and visual reasoning, enabling agents to generate embodied plans that seamlessly connect abstract tasks with physical actions.
Hy-Embodied-VLM-1.0 outperforms its predecessor by 8.4% while activating only a fraction of the parameters, redefining efficiency in embodied agents.
A fully integrated robot learning stack that bridges the gap from simulation to real-world deployment, enhancing the efficacy of vision-language-action models.
Real-world robots get a serious upgrade with HY-Embodied-0.5, a VLM family that rivals Gemini 3.0 Pro in embodied reasoning while also offering a deployable 2B parameter version.
