UniWALM: Unified World Action Language Model for Embodied Robot Control
Overview
UniWALM is a unified world-action-language model that learns video, action, and language in a shared representation, improving manipulation and memory-dependent behavior. It unifies all modalities in a single transformer backbone, with diffusion heads that co-denoise synchronously. The model achieves 34.5% performance on memory-dependent tasks without pretrained language models and improves success rates in real-world tasks from 11.1% to 61.1% by generating textual memory.
From arXiv Robotics — research abstracts
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- arXiv Robotics — research abstractsSignalUniWALM: Unified World Action Language Model for Embodied Robot Control
UniWALM is a unified world-action-language model that learns video, action, and language in a shared representation, improving manipulation and memory-dependent behavior. It unifies all modalities in a single transformer backbone, with diffusion heads that co-denoise synchronously. The model achieves 34.5% performance on memory-dependent tasks without pretrained language models and improves success rates in real-world tasks from 11.1% to 61.1% by generating textual memory.
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