Automatic generation of biped locomotion controllers using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Silva:2014:RAS,
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author = "Pedro Silva and Cristina {P. Santos} and
Vitor Matos and Lino Costa",
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title = "Automatic generation of biped locomotion controllers
using genetic programming",
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journal = "Robotics and Autonomous Systems",
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volume = "62",
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number = "10",
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pages = "1531--1548",
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year = "2014",
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ISSN = "0921-8890",
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DOI = "doi:10.1016/j.robot.2014.05.008",
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URL = "http://www.sciencedirect.com/science/article/pii/S0921889014000979",
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abstract = "Generating biped locomotion in robotic platforms is
hard. It has to deal with the complexity of the tasks
which requires the synchronisation of several joints,
while monitoring stability. Further, it is also
expected to deal with the great heterogeneity of
existing platforms. The generation of adaptable
locomotion further increases the complexity of the
task. In this paper, Genetic Programming (GP) is used
as an automatic search method for motion primitives of
a biped robot, that optimises a given criterion. It
does so by exploring and exploiting the capabilities
and particularities of the platform. In order to
increase the adaptability of the achieved solutions,
feedback pathways were directly included into the
evolutionary process through sensory inputs.
Simulations on a physic-based Darwin OP have shown that
the system is able to generate a faster gait with a
given stride time with improved gait temporal
characteristics. Further, the system was able to cope
with tilted ground within a specific range of slope
angles. The system feasibility to generate locomotion
more entrained with the environment was shown.",
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keywords = "genetic algorithms, genetic programming, Central
pattern generator, Legged locomotion, Adaptation,
Sensory information",
- }
Genetic Programming entries for
Pedro Andre Moreira da Silva
Cristina Manuela Peixoto dos Santos
Vitor Matos
Lino Antonio Antunes Fernandes da Costa
Citations