Advertisement

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 Robotics

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 Robotics

Focus

Eando Binder’s Adam Link series posed issues in trust, control, weaponization, and intellectual property.

Research Articles

    BY
    • Dylan G. Schmitz
    • Richard W. Nuckols
    • Sangjun Lee
    • Tunc Akbas
    • Krithika Swaminathan
    • Conor J. Walsh
    • Darryl G. Thelen
  • NO ACCESS
Exosuit assistance induces disparate changes in Achilles tendon force and biological ankle torque during load carriage.
    BY
    • Ryan H. Lee
    • Erwin A. B. Mulder
    • Jonathan B. Hopkins
  • Free
This work studies how a lattice of tunable beams can learn desired behaviors and what factors affect mechanical learning.

Advertisement

Advertisement

Ad Placeholder ID

Advertisement