Vesta: A Generalist Embodied Reasoning Model
Robots operating in open-world environments must seamlessly integrate localization, spatial reasoning, navigation, and long-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 unified embodied generalist that consolidates these capabilities into a single foundation model. Our approach combines a diverse and massive curated corpus designed to induce spatial grounding and a simple multimodal memory harness that enables reasoning over extended time horizons. Across diverse benchmarks, Vesta on average beats individual SOTA baselines by >$20\%$ and beats an ensemble o...
| Authors | Johan Bjorck, Zhiqi Li, Yunze Man et al. |
|---|---|
| Primary category | cs.RO |
| Published | 18 June 2026 |
| Last updated at source | 18 June 2026 |
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