2020 IEEE Symposium Series on Computational Intelligence (SSCI) 2020
DOI: 10.1109/ssci47803.2020.9308434
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Evolution of Diverse, Manufacturable Robot Body Plans

Abstract: Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new challenges, in that robot models that can be instantiated from an encoding in simulation might not be manufacturable in practice (due to constraints associated with the 3D printing and/or automated assembly processes). We introduce a representation for evolving (w… Show more

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Cited by 5 publications
(12 citation statements)
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“…This paper extends the results from [9] by investigating additional alternative descriptors to determine which descriptor is most efficient.…”
Section: Introductionmentioning
confidence: 79%
See 3 more Smart Citations
“…This paper extends the results from [9] by investigating additional alternative descriptors to determine which descriptor is most efficient.…”
Section: Introductionmentioning
confidence: 79%
“…Novelty is measured by comparing a descriptor vector (which describes the body plan represented by an individual) with the descriptors of both the current population and those maintained in an archive produced by the same algorithm and described below (more details in Appendix A):. In this paper we extend the work in [9] where body plans were evolved for a single descriptor. For this paper three different descriptors are compared: the feature descriptor, symmetry descriptor and the spatial descriptor.…”
Section: Body Plan Descriptorsmentioning
confidence: 99%
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“…They used 3D printing to manufacture the mechanical parts and manually assembled the motors and wires. Similarly, Samuelsen and Glette (2015); Auerbach et al (2014); Vujovic et al (2017); Buchanan et al (2020) also used 3D printing for manufacturing evolved robots. Surprisingly though, many works that use 3D printing limit the kind of shapes that can be created or modified inside the robots.…”
Section: Introductionmentioning
confidence: 99%