Vesta: A Generalist Embodied Reasoning Model
Summary
Vesta is a unified embodied generalist model that integrates localization, spatial reasoning, navigation, and long-horizon planning into a single foundation model, outperforming specialized models by over 20% on benchmarks and over 35% on real-world robotic tasks.
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Paper page - Vesta: A Generalist Embodied Reasoning Model
Source: https://huggingface.co/papers/2606.20905 Authors:
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Abstract
Vesta is a unified embodied generalist model that integrates localization, spatial reasoning, navigation, and long-horizon planning into a single foundation model, outperforming specialized models in both benchmark tests and real-world robotic applications.
Robots operating in open-world environments must seamlessly integratelocalization,spatial reasoning, navigation, andlong-horizon planning. While specialist models excel at individual tasks, deploying a multi-model stack is computationally expensive and prone to cascading errors. We present Vesta, a unifiedembodied generalistthat consolidates these capabilities into a singlefoundation model. Our approach combines a diverse and massive curated corpus designed to inducespatial groundingand a simplemultimodal memoryharness that enables reasoning over extended time horizons. Across diverse benchmarks, Vesta on average beats individual SOTA baselines by >20% and beats an ensemble of per-category-best baselines by >10% -- thus demonstrating that a generalist model can match or exceed specialists. On real-world robotic tasks requiring memory and reasoning, Vesta improves task success by >35\%. Our work thus demonstrates that a single generalist is a feasible, scalable, and arguably preferable alternative to combining specialists.
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