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Beyond imitation: Robots that learn to work in the real world
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-3958-6179
2026 (English)In: Science robotics, E-ISSN 2470-9476, Vol. 11, no 116, article id eaei2397Article, review/survey (Refereed) Published
Abstract [en]

Real-world learning can push robot manipulation beyond imitation alone.

Place, publisher, year, edition, pages
American Association for the Advancement of Science (AAAS), 2026. Vol. 11, no 116, article id eaei2397
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Artificial Intelligence
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URN: urn:nbn:se:oru:diva-130370DOI: 10.1126/scirobotics.aei2397ISI: 001827181600002PubMedID: 42485443OAI: oai:DiVA.org:oru-130370DiVA, id: diva2:2089187
Available from: 2026-07-31 Created: 2026-07-31 Last updated: 2026-08-07Bibliographically approved

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Stork, Johannes A.

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