
Science Robotics
- Volume 7
- Issue 71
- Oct 2022

ONLINE COVER Physical Connections. Morphological computing leverages the dynamics of mechanical bodies for computation with the aim to decentralize the computing load. Inspired by artificial neural networks, Lee et al. have realized a mechanical neural network that uses interconnected beams with tunable stiffness to learn mechanical behaviors. Genetic and partial pattern search algorithms were applied to the mechanical neural network. This month's cover is a photograph of the mechanical neural network in operation.
Credit: Lee et al./Science RoboticsResearch ArticlesBy
- Dylan G. Schmitz
- Richard W. Nuckols
- et al.
Modulation of Achilles tendon force with load carriage and exosuit assistance
Research ArticlesBy
- Ryan H. Lee
- Erwin A. B. Mulder
- et al.
Mechanical neural networks: Architected materials that learn behaviors
FocusBy
- Robin R. Murphy
The original “I, Robot” featured a murderous robot and the Frankenstein complex
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Research
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Science Robotics is a multidisciplinary research journal covering traditional disciplines of robotics as well as emerging technologies closely related to robotics.
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