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Resilient Intelligent Machines through Morphological Changes

Research output: Contribution to journalArticle

Original languageEnglish
JournalNature Machine Intelligence
Early online date17 Jul 2019
DOIs
DateAccepted/In press - 5 Jul 2019
DateE-pub ahead of print (current) - 17 Jul 2019

Abstract

To prepare robots for working autonomously under real-world conditions, their resilience and capability to recover from damage needs to improve radically. A fresh take on robot design suggests that instead of adapting the robotic control strategy, we could enable robots to change their physical bodies to recover more effectively from damage.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer Nature at https://www.nature.com/articles/s42256-019-0076-6. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 74 KB, PDF document

    Embargo ends: 17/01/20

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