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Evolutionary robotics

Published:2013-08 Issue:8 Volume:56 Page:74-83
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Bongard Josh C.¹

Affiliation:

1. University of Vermont

Abstract

Taking a biologically inspired approach to the design of autonomous, adaptive machines.

Funder

Defense Advanced Research Projects Agency

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2493883

Reference40 articles.

1. On the relationship between environmental and morphological complexity in evolved robots

2. Beer R.D. The dynamics of brain-body-environment systems: A status report. Handbook of Cognitive Science: An Embodied Approach (2008) 99--120. Beer R.D. The dynamics of brain-body-environment systems: A status report. Handbook of Cognitive Science: An Embodied Approach (2008) 99--120.

3. Morphological change in machines accelerates the evolution of robust behavior

4. Resilient Machines Through Continuous Self-Modeling

5. Unshackling evolution

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4. Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search;Swarm and Evolutionary Computation;2023-12

5. Deformable Morphing and Multivariable Stiffness in the Evolutionary Robotics;International Journal of Automotive Manufacturing and Materials;2023-10-24

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