机器人学
人工智能
机器人
稳健性(进化)
计算机科学
进化机器人
生物有机体
人机交互
生化工程
生物
工程类
生物材料
生物化学
基因
作者
Rolf Pfeifer,Max Lungarella,Fumiya Iida
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2007-11-16
卷期号:318 (5853): 1088-1093
被引量:1156
标识
DOI:10.1126/science.1145803
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.
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