Path Towards Multilevel Evolution of Robots
Shelvin Chand, David Howard

TL;DR
This paper discusses a multi-level evolution framework for robotic design, focusing on layered sub-tasks involving materials, geometry, and morphology, aiming to develop diverse candidate libraries for robotic innovation.
Contribution
It provides a theoretical discussion on the concepts and technologies that could underpin a multi-level robotic evolution framework.
Findings
Conceptual framework for multi-level robotic evolution
Identification of key technologies for layered design
Discussion on building diverse candidate solution libraries
Abstract
Multi-level evolution is a bottom-up robotic design paradigm which decomposes the design problem into layered sub-tasks that involve concurrent search for appropriate materials, component geometry and overall morphology. Each of the three layers operate with the goal of building a library of diverse candidate solutions which will be used either as building blocks for the layer above or provided to the decision maker for final use. In this paper we provide a theoretical discussion on the concepts and technologies that could potentially be used as building blocks for this framework.
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