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自组织,体现,以及生物启发的机器人
Rolf Pfeifer1, Max Lungarella, Fumiya Iida
1Department of Informatics, Artificial Intelligence Laboratory, University of Zurich, Zurich, Switzerland. pfeifer@ifi.uzh.ch
Science (New York, N.Y.)
|November 17, 2007
概括
生物启发的机器人利用自然界的概念来创造更具适应性和强大的自主机器. 这种方法旨在设计能够在现实世界的复杂性中导航的机器人,与传统的工业机器人不同.
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
- 生物模拟学是一种生物模拟学.
背景情况:
- 生物体在动态环境中表现出了显著的适应性和强度.
- 目前的工业机器人是为控制的设置而设计的,不确定性最小.
- 工业机器人的能力与现实应用的需求之间存在差距.
研究的目的:
- 探索生物原理在自主机器人设计中的整合.
- 确定对机器人系统有益的关键生物概念.
- 概述生物灵感机器人技术在现实世界应用中的潜力.
主要方法:
- 对生物系统和自我组织原则的审查.
- 分析当前工业机器人设计的局限性.
- 生物灵感设计策略的概念化.
主要成果:
- 生物自我组织和进化策略为机器人设计提供了宝贵的见解.
- 生物启发的方法可以提高机器人的适应性,强度和多功能性.
- 弥合生物智能和人工系统之间的差距至关重要.
结论:
- 生物启发的机器人对开发用于复杂,现实世界的环境的自主机器具有重大前景.
- 未来的机器人可以通过模仿生物体来实现更大的灵活性和弹性.
- 对生物灵感机器人的持续研究对于推进自主系统至关重要.
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