形态变异在进化机器人的作用:最大限度地提高性能和稳固性
Jonata Tyska Carvalho1, Stefano Nolfi2
1Informatics and Statistics Department, Federal University of Santa Catarina (UFSC), Florianópolis, Brazil Institute of Cognitive Sciences and Technologies (ISTC), National Research Council (CNR), Rome, Italy jonata.tyska@ufsc.br.
Evolutionary computation
|June 30, 2023
概括
本研究介绍了一种分析机器人控制器进化如何受到形态变化的影响的方法. 结果显示,进化算法可以容忍显著的变化,提高代理的稳定性和在各种条件下的性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 进化计算是一种进化计算.
- 人工智能的人工智能
背景情况:
- 不断发展的机器人控制器需要暴露在可变条件下的强度,并弥合现实差距.
- 目前的方法缺乏对形态变异如何影响进化过程的分析和适当的变异范围选择.
研究的目的:
- 引入一种方法来测量形态变异对机器人控制器进化的影响.
- 分析变化幅度,模式和演变剂的性能/稳定性之间的关系.
主要方法:
- 开发了一种方法来量化形态变异 (初始状态,传感器噪声) 对进化算法的影响.
- 分析了在不同形态条件下演化的代理物的性能和稳定性.
主要成果:
- 进化算法表现出对高影响力形态变异的耐受性.
- 代理作用的变化比初始状态或环境的变化更好地容忍.
- 多次健身评估并不能始终提高准确性.
结论:
- 形态变异增强了进化的机器人控制器的强度和性能.
- 开发的方法有助于理解和选择适合进化机器人的变化范围.
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