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Paper

Biological Robots and Xenobots

CategoryNatural Sciences
DisciplineBiology

Condensed Preview

What is a biological robot, and are the cell-based constructions called 'xenobots' legitimately robots or merely manipulated embryonic tissue?

This paper is a perspective essay by the creators of 'xenobots'—tiny robots built from frog cells. It defends their work against criticisms from developmental biologists who say these are just 'animal caps' and not true robots, arguing that the materials don't define what a robot is. The essay argues that biology and robotics can merge, and that our categories need to adapt to new technologies.

Focal FrameworkBiological Robotics (as used by Blackiston, Kriegman, Bongard & Levin)

The authors propose that 'biological robots' are devices built from living cells that are computationally designed, motile, and task-capable. This framework explicitly rejects material-based definitions (silicon vs. living tissue) and instead defines robots by function, design process, and controllability. It sits at the intersection of developmental biology, artificial life, and soft robotics.

Frameworks

  • Cell Theoryuses
  • Experimental Embryologyuses
  • Systems Biologyuses
  • Soft Roboticsmentions

Terms To Watch

  • xenobot
  • animal cap
  • biohybrid robot
  • multiscale control

Background Concepts

  • Xenopus laevis
  • Animal cap (embryology)
  • Evolutionary algorithm (for design)
  • Cilia-based motility

Caveats

  • Atlas coverage is thin for Developmental Biology; prerequisites may include suggested concepts not yet represented in the atlas.
Input excerpt

SOFT ROBOTICS Volume 10, Number 4, 2023 Mary Ann Liebert, Inc. DOI: 10.1089/soro.2022.0142 Open camera or QR reader and scan code to access this article and other resources online. INVITED PERSPECTIVE Biological Robots: Perspectives on an Emerging Interdisciplinary Field Douglas Blackiston,1–3,* Sam Kriegman,3–5,* Josh Bongard,3,6,* and Michael Levin1–3,* 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 address specific questions and critiques which have arisen in response to our research program, which lies at the intersection of developmental biology, computer science, and robotics. In the context of biological machines and 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 iss [Excerpt shortened for the public Paper Guide example.]