Origami mechanologic

Abstract

Autonomy separates robots from machines. Incorporating autonomy into soft robots is an outstanding challenge due to the mismatch between rigid electronics and the compliant bodies. In this work, we demonstrate origami as a platform for compliant mechanical logic, containing mechanical bits, logic gates, and signal transmission mechanisms that can supplement conventional electronic controls. Furthermore, these processes can be responsive to and programmed by the environment via the integration of adaptive materials. Thus, origami provides a framework in which sensing, computation, and reflexes can be seamlessly integrated into the compliant bodies of soft robotics.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 18, 2018
Source ID
10.1073/pnas.1805122115

Entities

People

  • Andrew Gillman
  • Benjamin Treml
  • Philip R. Buskohl
  • Richard A. Vaia

Organizations

  • Air Force Office of Scientific Research
  • Air Force Research Laboratory
  • Air Force Research Laboratory Information Directorate

Tags

Readers

  • Integrated Circuit Design and Technology.
  • Nanocomposite Materials Science
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Microelectronics