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Robot task instruction wording significantly impacts retrieval accuracy, study finds

By PulseAugur Editorial · [2 sources] ·

A new research paper explores how the wording of robot task instructions impacts retrieval accuracy. The study, conducted on the RLBench manipulation benchmark, found that character n-gram TF-IDF achieved the highest top-1 accuracy at 61.3%, outperforming BM25 and word TF-IDF. Adding a second indexed description for each task further improved retrieval by 7.0 percentage points. AI

IMPACT Quantifies the impact of natural language representation on instruction-to-task retrieval for robots.

RANK_REASON The cluster contains a research paper published on arXiv detailing findings on robot task instruction retrieval.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Robot task instruction wording significantly impacts retrieval accuracy, study finds

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The cluster contains a research paper published on arXiv detailing findings on robot task instruction retrieval.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jahnavi Yelamanchi ·

    Reference Wording Shapes Retrieval of Robot Task Instructions

    arXiv:2610.17549v1 Announce Type: new Abstract: Identifying a robot task from a short instruction is sensitive to which descriptions are available for retrieval. We investigate this effect in the natural-language instructions included with the RLBench manipulation benchmark. We e…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jahnavi Yelamanchi ·

    Reference Wording Shapes Retrieval of Robot Task Instructions

    Identifying a robot task from a short instruction is sensitive to which descriptions are available for retrieval. We investigate this effect in the natural-language instructions included with the RLBench manipulation benchmark. We extract 296 fixed descriptions from 62 publicly a…

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