mlsanityData to 7 Oct 2026

Biological Robots: Perspectives on an Emerging Interdisciplinary Field

arXiv 2207.00880 ↗First posted 2 Jul 2022cs.RO cs.AI cs.SYcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 9 of its 120 references that are in the map. First posted on arXiv 2 Jul 2022.

Builds on

9 of 120 references.

References · 9

  1. 2018ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Roboticscited by 98
  2. 2019Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularitycited by 68
  3. 2018Reinforcement Learning for Improving Agent Designcited by 55
  4. 2017Scalable Co-Optimization of Morphology and Control in Embodied Machinescited by 38
  5. 2021Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and mindscited by 25
  6. 2019Scalable sim-to-real transfer of soft robot designscited by 11
  7. 2021DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolationcited by 9
  8. 2020Reality-assisted evolution of soft robots through large-scale physical experimentation: a reviewcited by 4
  9. 2021A good body is all you need: avoiding catastrophic interference via agent architecture searchcited by 2

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Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 2.

3 papers.