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Preparing to adapt is key for Olympic curling robots
Örebro University, School of Science and Technology. (Autonomous Mobile Manipulation Lab, Center for Applied Autonomous Sensor Systems)ORCID iD: 0000-0003-3958-6179
2020 (English)In: Science robotics, E-ISSN 2470-9476, Vol. 5, no 46, article id eabe2547Article in journal (Refereed) Published
Abstract [en]

Continued advances in machine learning could enable robots to solve tasks on a human level and adapt to changing conditions.

Place, publisher, year, edition, pages
American Association for the Advancement of Science , 2020. Vol. 5, no 46, article id eabe2547
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Robotics and automation
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URN: urn:nbn:se:oru:diva-85999DOI: 10.1126/scirobotics.abe2547ISI: 000576181300001PubMedID: 32967993Scopus ID: 2-s2.0-85091542384OAI: oai:DiVA.org:oru-85999DiVA, id: diva2:1471227
Available from: 2020-09-28 Created: 2020-09-28 Last updated: 2025-02-09Bibliographically approved

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Stork, Johannes Andreas

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