Self-organization, embodiment, and biologically inspired robotics

被引：827

作者：

Pfeifer, Rolf ^{[1
]}

Lungarella, Max

Iida, Fumiya

机构：

[1] Univ Zurich, Artificial Intelligence Lab, Dept Informat, Zurich, Switzerland

[2] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA

来源：

SCIENCE | 2007年 / 318卷 / 5853期

关键词：

D O I：

10.1126/science.1145803

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Robotics researchers increasingly agree that ideas from biology and self-organization can strongly benefit the design of autonomous robots. Biological organisms have evolved to perform and survive in a world characterized by rapid changes, high uncertainty, indefinite richness, and limited availability of information. Industrial robots, in contrast, operate in highly controlled environments with no or very little uncertainty. Although many challenges remain, concepts from biologically inspired (bio-inspired) robotics will eventually enable researchers to engineer machines for the real world that possess at least some of the desirable properties of biological organisms, such as adaptivity, robustness, versatility, and agility.

引用

页码：1088 / 1093

页数：6

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