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Open Issues in Evolutionary Robotics.

Fernando Silva1, Miguel Duarte2, Luís Correia3

  • 1Bio-inspired Computation and Intelligent Machines Lab, 1649-026 Lisboa, Portugal BioISI, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal Instituto de Telecomunicações, 1049-001 Lisboa, Portugal fsilva@di.fc.ul.pt.

Evolutionary Computation
|November 19, 2015
PubMed
Summary
This summary is machine-generated.

Evolutionary robotics aims to automatically create robot controllers. This review discusses challenges like simulation versus real-world evolution and computational issues to advance autonomous robot engineering.

Keywords:
Evolutionary roboticsautonomous robotsbootstrap problemcontroller synthesisdeceptiongenomic encodingonline evolutionreality gapresearch practices

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Area of Science:

  • Robotics
  • Evolutionary Computation
  • Artificial Intelligence

Background:

  • Evolutionary robotics seeks automated controller synthesis for autonomous robots.
  • Current challenges hinder widespread adoption in engineering applications.

Purpose of the Study:

  • To review and discuss open issues in evolutionary robotics.
  • To bridge the gap between evolutionary robotics and mainstream robotics.

Main Methods:

  • Analysis of simulation-based evolution versus real-world hardware evolution.
  • Discussion of specific evolutionary computation challenges (bootstrap problem, deception, genomic encoding).
  • Examination of the absence of standard research practices.

Main Results:

  • Identified key challenges in evolutionary robotics, including simulation-to-real transfer and computational hurdles.
  • Highlighted the impact of genomic encoding and genotype-phenotype mapping on complex task evolution.
  • Addressed the need for standardized research practices.

Conclusions:

  • Addressing these open issues is crucial for establishing evolutionary robotics as a canonical engineering approach.
  • Promising research avenues are discussed to overcome current limitations.
  • The goal is to reduce the gap between evolutionary and mainstream robotics.