Biological Robots: Perspectives on an Emerging Interdisciplinary Field

D. Blackiston, S. Kriegman, J. Bongard, M. Levin
7/2/2022
cs.ROcs.AIeess.SY

No confident code implementation found for this paper.

Abstract

Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered invariants across disciplines. It is essential to refine frameworks and resolve conflicting boundaries between disciplines such that they better facilitate, not restrict, experimental approaches and capabilities. In this essay, we discuss issues at the intersection of developmental biology, computer science, and robotics. In the context of biological robots, we explore changes across concepts and previously distinct fields that are driven by recent advances in materials, information, and life sciences. Herein, each author provides their own perspective on the subject, framed by their own disciplinary training. We argue that as with computation, certain aspects of developmental biology and robotics are not tied to specific materials; rather, the consilience of these fields can help to shed light on issues of multi-scale control, self-assembly, and relationships between form and function. We hope new fields can emerge as boundaries arising from technological limitations are overcome, furthering practical applications from regenerative medicine to useful synthetic living machines.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{blackiston2022biological,
  title  = {Biological Robots: Perspectives on an Emerging Interdisciplinary Field},
  author = {D. Blackiston and S. Kriegman and J. Bongard and M. Levin},
  year   = {2022},
  eprint = {2207.00880},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.00880v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2207.00880.svg)](https://codeofpaper.com/paper/2207.00880)

Discussion