Evolutionary Modular Robotics: Survey and Analysis

被引:52
作者
Alattas, Reem J. [1 ]
Patel, Sarosh [1 ]
Sobh, Tarek M. [1 ]
机构
[1] Univ Bridgeport, Sch Engn, Interdisciplinary Robot Intelligent Sensing & Con, 221 Univ Ave, Bridgeport, CT 06604 USA
关键词
Evolutionary robotics; Modular robots; Task-based design; Self-assembly; Self-reconfiguration; Self-repair; Self-reproduction; GENETIC ALGORITHM; SELF-RECONFIGURATION; MULTIMODE LOCOMOTION; DESIGN; SYSTEM; UBOT;
D O I
10.1007/s10846-018-0902-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper surveys various applications of artificial evolution in the field of modular robots. Evolutionary robotics aims to design autonomous adaptive robots automatically that can evolve to accomplish a specific task while adapting to environmental changes. A number of studies have demonstrated the feasibility of evolutionary algorithms for generating robotic control and morphology. However, a huge challenge faced was how to manufacture these robots. Therefore, modular robots were employed to simplify robotic evolution and their implementation in real hardware. Consequently, more research work has emerged on using evolutionary computation to design modular robots rather than using traditional hand design approaches in order to avoid cognition bias. These techniques have the potential of developing adaptive robots that can achieve tasks not fully understood by human designers. Furthermore, evolutionary algorithms were studied to generate global modular robotic behaviors including; self-assembly, self-reconfiguration, self-repair, and self-reproduction. These characteristics allow modular robots to explore unstructured and hazardous environments. In order to accomplish the aforementioned evolutionary modular robotic promises, this paper reviews current research on evolutionary robotics and modular robots. The motivation behind this work is to identify the most promising methods that can lead to developing autonomous adaptive robotic systems that require the minimum task related knowledge on the designer side.
引用
收藏
页码:815 / 828
页数:14
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