Evolutionary robotics
Evolutionary robotics
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DOI：
10.1007/s12065-014-0113-7
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发表时间：
2014-08
影响因子：
2.6
通讯作者：
J. Becerra;R. Duro
中科院分区：
文献类型：
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作者：
J. Becerra;R. Duro
进化机器人结合了进化计算和机器人技术[1，2，4，7-10]。它是一个“旨在应用进化计算技术来进化真实的和模拟的自主机器人的整体设计或控制器，或两者兼而有之”的领域。这是一种有用的方法“既用于研究机器人应用的设计空间，也用于测试生物机制和过程的科学假设”[4]。在过去的15年里，进化机器人已经从Nolfi和Floreano的开创性著作[7]中描述的新领域发展成为一个更成熟的学科。进化机器人技术现在还用于解决涉及复杂动力系统的问题，例如群体机器人技术、模块化机器人技术、飞行和水下机器人技术。主要的研究挑战已经确定，目前正在调查的社区，
Evolutionary robotics combines evolutionary computing with robotics [1, 2, 4, 7–10]. It is a field that ‘‘aims to apply evolutionary computation techniques to evolve the overall design or controllers, or both, for real and simulated autonomous robots’’[9]. It is a useful approach ‘‘both for investigating the design space of robotic applications and for testing scientific hypotheses of biological mechanisms and processes’’[4].Over the last fifteen years, evolutionary robotics has developed from the novel field described in Nolfi and Floreano’s seminal book [7] to a more mature discipline. Evolutionary robotics is now also used to tackle problems involving complex dynamical systems, such as swarm robotics, modular robotics, flying and underwater robotics. Major research challenges have been identified and are currently being investigated by the community, ranging