New framework resolves instruction ambiguity for embodied AI agents

Researchers have developed a new framework called Ask-to-Clarify to address ambiguity in instructions given to embodied agents. This system uses a multi-turn dialogue to ask clarifying questions before generating low-level actions. The framework integrates a Visual-Language Model (VLM) for collaboration and a diffusion model for action generation, with a connection module to condition the diffusion process. Evaluated on eight real-world tasks, Ask-to-Clarify demonstrated superior performance compared to existing state-of-the-art VLAs, paving the way for more collaborative embodied agents. AI

IMPACT Enhances embodied AI's ability to understand and execute complex, ambiguous instructions, moving towards more collaborative human-AI interaction.

RANK_REASON This is a research paper describing a new framework and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

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• Ask-to-Clarify
• Xingyao Lin

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