Resilient Intelligent Machines through Morphological Changes

Research output: Contribution to journalArticle (Academic Journal)

91 Downloads (Pure)

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.
Original languageEnglish
JournalNature Machine Intelligence
Early online date17 Jul 2019
DOIs
Publication statusE-pub ahead of print - 17 Jul 2019

Fingerprint Dive into the research topics of 'Resilient Intelligent Machines through Morphological Changes'. Together they form a unique fingerprint.

  • Cite this