arXiv AI
EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models
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From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data
arXiv:2606. 00054v1 Announce Type: cross Abstract: Recent progress in generalizable embodied control has been driven by large-scale pretraining of Vision-Language-Action (VLA) models.
arXiv AI
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World-Ego Modeling for Embodied Video Generation in Long-Horizon Navigation-Manipulation Tasks
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arXiv AI
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Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
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Guava: Distilling Frontier VLMs into a Compact Agent through a Robotic Manipulation Harness
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Hugging Face Trending Papers
Jul 14
Hy-Embodied-VLM-1.0: Efficient Physical-World Agents
Building capable embodied agents requires not only multimodal perception and understanding, but also agentic capabilities for reasoning about actions, adapting to evolving situations, and interacting with the physical world. In this report, we introduce Hy-Embodied-VLM-1.