TY - JOUR
T1 - Evolving embodied intelligence from materials to machines
AU - Howard, David
AU - Eiben, Ágoston Endre
AU - Kennedy, Danielle Frances
AU - Mouret, Jean Baptiste
AU - Valencia, Philip
AU - Winkler, David
PY - 2019/1/7
Y1 - 2019/1/7
N2 - Natural lifeforms specialize to their environmental niches across many levels, from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, limbs and overarching body plans. We propose ‘multi-level evolution’, a bottom-up automatic process that designs robots across multiple levels and niches them to tasks and environmental conditions. Multi-level evolution concurrently explores constituent molecular and material building blocks, as well as their possible assemblies into specialized morphological and sensorimotor configurations. Multi-level evolution provides a route to fully harness a recent explosion in available candidate materials and ongoing advances in rapid manufacturing processes. We outline a feasible architecture that realizes this vision, highlight the main roadblocks and how they may be overcome, and show robotic applications to which multi-level evolution is particularly suited. By forming a research agenda to stimulate discussion between researchers in related fields, we hope to inspire the pursuit of multi-level robotic design all the way from material to machine.
AB - Natural lifeforms specialize to their environmental niches across many levels, from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, limbs and overarching body plans. We propose ‘multi-level evolution’, a bottom-up automatic process that designs robots across multiple levels and niches them to tasks and environmental conditions. Multi-level evolution concurrently explores constituent molecular and material building blocks, as well as their possible assemblies into specialized morphological and sensorimotor configurations. Multi-level evolution provides a route to fully harness a recent explosion in available candidate materials and ongoing advances in rapid manufacturing processes. We outline a feasible architecture that realizes this vision, highlight the main roadblocks and how they may be overcome, and show robotic applications to which multi-level evolution is particularly suited. By forming a research agenda to stimulate discussion between researchers in related fields, we hope to inspire the pursuit of multi-level robotic design all the way from material to machine.
UR - http://www.scopus.com/inward/record.url?scp=85088417000&partnerID=8YFLogxK
U2 - 10.1038/s42256-018-0009-9
DO - 10.1038/s42256-018-0009-9
M3 - Article
AN - SCOPUS:85088417000
SN - 2522-5839
VL - 1
SP - 12
EP - 19
JO - Nature Machine Intelligence
JF - Nature Machine Intelligence
IS - 1
ER -