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Evolutionary form-finding of tensegrity structures
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Source Genetic And Evolutionary Computation Conference archive
Proceedings of the 2005 conference on Genetic and evolutionary computation table of contents
Washington DC, USA
SESSION: Artificial life, evolutionary robotics, and adaptive behavior table of contents
Pages: 3 - 10  
Year of Publication: 2005
ISBN:1-59593-010-8
Authors
Chandana Paul  Cornell University, Ithaca, NY
Hod Lipson  Cornell University, Ithaca, NY
Francisco J. Valero Cuevas  Cornell University, Ithaca, NY
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

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 are 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Chandana Paul: colleagues
Hod Lipson: colleagues
Francisco J. Valero Cuevas: colleagues