TY - JOUR
T1 - Biological Robots
T2 - Perspectives on an Emerging Interdisciplinary Field
AU - Blackiston, Douglas
AU - Kriegman, Sam
AU - Bongard, Josh
AU - Levin, Michael
N1 - Funding Information:
This work was sponsored by the Defense Advanced Research Projects Agency (DARPA) under Cooperative Agreement Number HR0011-18-2-0022, the Lifelong Learning Machines program from DARPA/MTO. We gratefully acknowledge support by the Allen Discovery Center program through the Paul G. Allen Frontiers Group (12171), and the National Science Foundation’s Emergent Behaviors of Integrated Cellular Systems Grant (Subaward CBET-0939511). This research was also supported by the National Science Foundation’s Emerging Frontiers in Research and Innovation (EFRI) Continuum, Compliant, and Configurable Soft Robotics Engineering (C3 SoRo) program (Subaward EFMA-1830870).
Funding Information:
This work was sponsored by the Defense Advanced Research Projects Agency (DARPA) under Cooperative Agreement Number HR0011-18-2-0022, the Lifelong Learning Machines program from DARPA/MTO. We gratefully acknowledge support by the Allen Discovery Center program through the Paul G. Allen Frontiers Group (12171), and the National Science Foundation's Emergent Behaviors of Integrated Cellular Systems Grant (Subaward CBET-0939511). This research was also supported by the National Science Foundation's Emerging Frontiers in Research and Innovation (EFRI) Continuum, Compliant, and Configurable Soft Robotics Engineering (C3 SoRo) program (Subaward EFMA-1830870).
Publisher Copyright:
© Douglas Blackiston et al. 2023.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - 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 issues of multiscale 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.
AB - 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 issues of multiscale 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.
KW - animal cap
KW - biorobot
KW - computer science
KW - developmental biology
KW - embryo
KW - robot
KW - synthetic bioengineering
KW - xenobot
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UR - http://www.scopus.com/inward/citedby.url?scp=85163752627&partnerID=8YFLogxK
U2 - 10.1089/soro.2022.0142
DO - 10.1089/soro.2022.0142
M3 - Article
C2 - 37083430
AN - SCOPUS:85163752627
SN - 2169-5172
VL - 10
SP - 674
EP - 686
JO - Soft Robotics
JF - Soft Robotics
IS - 4
ER -