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ASPIRE: Agentic /Skills Discovery for Robotics research paper by NVIDIA, 2026

NVIDIA · Jun 30, 2026 · Agents and evaluation · 21 citations · 25 upvotes · unverified

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What it shows

ASPIRE is a continual learning system that autonomously develops and refines robot control programs through iterative exploration, achieving superior performance and zero-shot generalization in manipulation and household tasks while enabling sim-to-real transfer.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Runyu Lu, Yubo Wu, Ethan Kou and 11 more
arXiv
2607.00272 · PDF
Venue
arXiv.org
Citations
21, 2 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 2Sep 25, 2026
Citationsfirst count: 21Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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