Evolutionary form-finding of tensegrity structures

被引:0
|
作者
Paul, Chandana [1 ]
Lipson, Hod [1 ]
Cuevas, Francisco J. Valero [1 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
来源
GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2 | 2005年
关键词
evolutionary algorithms; tensegrity structures; evolutionary robotics;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tensegrity structures are stable 3-dimensional mechanical structures which maintain their form due to an intricate balance of forces between disjoint rigid elements and continuous tensile elements. Tensegrity structures can give rise to lightweight structures with high strength-to-weight ratios and their utility has been appreciated in architecture, engineering and recently robotics. However, the determination of connectivity patterns of the rigid and tensile elements which lead to stable tensegrity is challenging. Available methods are limited to the use of heuristic guidelines, hierarchical design based on known components, or mathematical methods which can explore only a subset of the space. This paper investigates the use of evolutionary algorithms in the form-finding of tensegrity structures. It is shown that an evolutionary algorithm can be used to explore the space of arbitrary tensegrity structures which axe difficult to design using other methods, and determine new, non-regular forms. It suggests that evolutionary algorithms can be used as the basis for a general design methodology for tensegrity structures.
引用
收藏
页码:3 / 10
页数:8
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