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Resilient Intelligent Machines through Morphological Changes

Research output: Contribution to journalArticle (Academic Journal)

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


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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    Accepted author manuscript, 74.5 KB, PDF document


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