机器人的高效自动设计
David Matthews1, Andrew Spielberg2, Daniela Rus2
1Center for Robotics and Biosystems, Northwestern University, Evanston, IL 60208.
概括
本研究介绍了一种用于快速机器人设计的新算法,在几秒钟内优化结构和行为. 该方法有效地从随机的身体计划中产生腿部运动,承诺更快地创建专门的机器人.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 进化计算是一种进化计算.
背景情况:
- 机器人设计是复杂的,因为物理结构,传感器,电机和行为之间的相互依赖.
- 手动机器人设计是耗时的,需要几个月或几年的代.
- 现有的机器人设计进化算法在计算上昂贵,模拟需要几天时间.
研究的目的:
- 开发用于机器人设计和优化的快速自动化方法.
- 克服当前机器人设计和进化算法的低效率.
- 为了实现机器人的新设计,这些机器人表现出特定的期望行为.
主要方法:
- 实现了一个新的机器人结构和行为 de novo优化算法.
- 在一个单一的消费级计算机上利用进化计算,从一个随机的apodous体图中进行优化.
- 专注于实现腿部运动作为主要的期望行为.
主要成果:
- 在几秒钟内实现了机器人设计优化,比以前的方法快得多.
- 从随机启动配置成功生成了具有腿部运动的机器人.
- 证明制造机器人保留了设计的行为.
结论:
- 新的算法提供了几乎即时的机器人设计和优化.
- 这种方法绕过了预先定义的解剖形状的需要,发现了高效的运动.
- 快速,自动化制造和部署机器人的潜力,用于各种应用.
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