VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting
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Abstract (arXiv)
Current Vision-Language-Action (VLA) models are often constrained by a rigid, static interaction paradigm, which lacks the ability to see, hear, speak, and act concurrently as well as handle real-time user interruptions dynamically. This hinders seamless embodied collaboration, resulting in an inflexible and unresponsive user experience. To address these limitations, we introduce VITA-E, a novel embodied interaction framework designed for both behavioral concurrency and nearly real-time interruption. The core of our approach is a dual-model architecture where two parallel VLA instances operate as an ``Active Model'' and a ``Standby Model'', allowing the embodied agent to observe its environment, listen to user speech, provide verbal responses, and execute actions, all concurrently and interruptibly, mimicking human-like multitasking capabilities. We further propose a ``model-as-controller'' paradigm, where we fine-tune the VLM to generate special tokens that serve as direct system-level commands, coupling the model's reasoning with the system's behavior. Experiments conducted on a physical humanoid platform demonstrate that VITA-E can reliably handle complex interactive scenarios. Our framework is compatible with various dual-system VLA models, achieving an extremely high success rate on emergency stops and speech interruptions while also successfully performing concurrent speech and action. This represents a significant step towards more natural and capable embodied assistants.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 29 of its 32 references that are in the map. First posted on arXiv 21 Oct 2025.
Builds on
29 of 32 references.
References · 29
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17 more
- 2024PaliGemma: A versatile 3B VLM for transfercited by 686
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Built on by
Citing papers per year: 2026: 1.
1 paper.
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- 2026MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization
- 2025Igniting VLMs toward the Embodied Space
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- 2025Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World