SOURCE-LINKED INTELLIGENCE
ME-VLM: A Unified VLM for Embodied Cognition and Agent Coordination
Physical AI requires models to ground visual and linguistic understanding in real-world environments while accounting for environmental constraints and execution feedback. We introduce MachEmbodied-VLM (ME-VLM), a unified vision-language model with two variants, 4B and 35B-A3B, that brings together embodied cognition and multimodal agent capabilities. Our work emphasizes physical perception and spatiotemporal reasoning, together with planning, interaction, and outcome assessment in both digital and physical environments. We construct training data spanning embodied and multimodal agent tasks,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T12:59:59.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.