Biologically inspired control of autonomous robots

作     者：Bekey, GA 

作者机构：UNIV SO CALIF INST ROBOT & INTELLIGENT SYST LOS ANGELES CA 90089 USA 

出 版 物：《ROBOTICS AND AUTONOMOUS SYSTEMS》 (机器人学和自控系统)

年 卷 期：1996年第18卷第1-2期

页      面：21-31页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Science Foundation, NSF, (IRI-9221582) Office of Naval Research, ONR 

主　　题：autonomous robots robot control cognitive architecture adaptation behavior-based control 

摘      要：Industrial robots are well suited for performing manipulation or material handling tasks in highly constrained and predictable environments. By contrast, living organisms are highly adaptive and capable of performing tasks in changing environments, such as stable locomotion over uneven terrain. The challenge to the field of robotics is to use inspiration from biology to develop systems capable of operating in unconstrained or partially constrained environments. We summarize traditional methods for robot control and then present an approach to based on biological principles, with emphasis on perception, control, and cognitive architectures. The principles are illustrated with four examples of robotic systems.