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群体机器人技术中的具身进化:综述

Embodied Evolution in Collective Robotics: A Review.

作者信息

Bredeche Nicolas, Haasdijk Evert, Prieto Abraham

机构信息

Sorbonne Université, CNRS, Institute of Intelligent Systems and Robotics, ISIR, Paris, France.

Computational Intelligence Group, Department of Computer Science, Vrije Universiteit, Amsterdam, Netherlands.

出版信息

Front Robot AI. 2018 Feb 22;5:12. doi: 10.3389/frobt.2018.00012. eCollection 2018.

Abstract

This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article also presents a comprehensive summary of research published in the field since its inception around the year 2000, providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an online distributed learning method for designing collective behaviors in swarm-like collectives. This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.

摘要

本文概述了应用于机器人集群在线分布式进化(即实体进化)的进化机器人技术。它给出了实体进化的定义,并对其基本概念和机制进行了详尽描述。本文还全面总结了自2000年左右该领域创立以来发表的研究,从多个角度识别主要趋势。特别是,我们发现了一种转变,即从将实体进化视为小型机器人集群(少于10个机器人)内的并行搜索方法,转变为将实体进化视为用于设计类群体集群中集体行为的在线分布式学习方法。本文最后讨论了应用和开放性问题,为过去的研究提供了一个里程碑,并为未来的研究提供了灵感。

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