HY-Embodied-0.5 develops 2B and 32B embodied foundation models with MoT architecture and self-evolving post-training that outperform peers on 16 of 22 benchmarks and enable effective real-world robot control via VLA fine-tuning.
move the spatula towards the front edge of the table
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HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents
HY-Embodied-0.5 develops 2B and 32B embodied foundation models with MoT architecture and self-evolving post-training that outperform peers on 16 of 22 benchmarks and enable effective real-world robot control via VLA fine-tuning.