AI RESEARCH
REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?
arXiv CS.AI
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ArXi:2505.10872v3 Announce Type: replace-cross Robot task planning decomposes human instructions into executable action sequences that enable robots to complete a series of complex tasks. Although recent large language model (LLM)-based task planners achieve amazing performance, they assume that human instructions are clear and straightforward. However, real-world users are not experts, and their instructions to robots often contain significant vagueness.