From Natural to Artificial Camouflage: Components and Systems
Abstract
We identify the components of bio-inspired artificial camouflage systems including actuation, sensing, and distributed computation. After summarizing recent results in understanding the physiology and system-level performance of a variety of biological systems, we describe computational algorithms that can generate similar patterns and have the potential for distributed implementation. We find that the existing body of work predominately treats component technology in an isolated manner that precludes a material-like implementation that is scale-free and robust. We conclude with open research challenges towards the realization of integrated camouflage solutions.
- Publication:
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arXiv e-prints
- Pub Date:
- September 2018
- DOI:
- 10.48550/arXiv.1809.04171
- arXiv:
- arXiv:1809.04171
- Bibcode:
- 2018arXiv180904171L
- Keywords:
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- Computer Science - Robotics;
- Quantitative Biology - Other Quantitative Biology