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This is a Systematic Review study.

October 9, 2025Open Access

Vision Language Action Models in Robotic Manipulation: A Systematic Review

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The review synthesizes insights from 102 VLA models and 26 datasets to enhance robotic manipulation.
Foundational datasets are assessed based on task complexity and multimodal alignment, ensuring effective policy learning.
A framework categorizes datasets by semantic richness, revealing gaps in the current data landscape for better robotic training.
Simulation platforms are evaluated for their role in real-world transfer and the diversity of tasks they can support.

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Systematic review highlights key datasets and simulation environments for improving robotic manipulation, indicating potential for enhanced autonomy.

Din et al. (2025) studied this question.

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Systematic review highlights key datasets and simulation environments for improving robotic manipulation, indicating potential for enhanced autonomy.