Stretchable Capacitors that Electrically Luminesce, Sense, and Actuate for Biomimetic Coloration

Abstract

This proposal is about enabling methods to better understand visual perception as it pertains to dynamic camouflage. Cephalopod's (e.g., octopuses and cuttlefish) make themselves invisible to extremely sophisticated visual predation using dynamic camouflage. Despite their remarkable abilities, these animals use only three types of coloration patterns: Uniform, Mottled, and Disruptive. Overlaid on this color camouflage are many other disguise techniques; the cuttlefish, for example, also uses pattern generation, skin texture, and body posture to disguise or reveal themselves. Though some basic explanations of how these animals perform these maneuvers and when they choose to implement them has recently been explained, true understanding of how to control and use dynamic camouflage in a human context will only be revealed using synthetic systems, instead of animal models. The goal of this proposal is to develop synthetic chromatophores that display color electrically. To create stretchable synthetic chromatophores, we synthesized high density arrays of individually addressable elastomeric light emitting capacitors and used a passive matrix addressing method. In this report, we cover the results of two proposal periods: September 2015 - August 2016and September 2016 - July 2017.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2017
Accession Number
AD1050795

Entities

People

  • Robert F Shepherd

Organizations

  • Cornell University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Camouflage
  • Capacitance
  • Capacitors
  • Convolutional Neural Networks
  • High Density
  • Machine Learning
  • Measurement
  • Neural Networks
  • Printing
  • Robotics
  • Robots
  • Soft Robotics
  • Students
  • Technology Transfer
  • Visual Perception

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Biotechnology