Biological Robots and Xenobots
external_papers/biological robots michael levin 2023.pdfSOFT 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 Document Classifier example.]
This perspective piece, published in the journal Soft Robotics, argues for an interdisciplinary field of biological robotics that merges developmental biology, computer science, and robotics. The authors, including Michael Levin, use examples like xenobots built from frog embryo cells to advocate for a view of development and robotics as material-independent processes of multiscale control and self-assembly.
Frameworks
- Epigenesisuses / 70%
- Robot Learninguses / 70%
- Soft Roboticsuses / 90%
- Experimental Embryologyuses / 80%
Assumptions
- Development is a material-independent process; the same principles of self-assembly and control apply to biological and synthetic systems. (Epigenesis)
- Biological machines can be designed and built using the same engineering principles as soft robots, including iterative design and optimization. (Soft Robotics)
- Classical experimental embryology techniques (e.g., animal cap isolation) are valid for constructing synthetic living machines. (Experimental Embryology)
- Evolutionary algorithms and AI can effectively design biological robot morphologies without requiring a complete understanding of underlying biology. (Robot Learning)
Concepts
- Xenobotmissing
- Animal capmissing
- Self-assemblymissing
- Multiscale controlmissing
- Synthetic bioengineeringmissing
Map Gaps
- Xenobot
- Animal cap
- Self-assembly
- Multiscale control
- Synthetic bioengineering