Evolutionary Humanoids for Embodied Artificial Intelligence
Created by W.Langdon from
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- @MastersThesis{wolff:2003d,
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author = "K. Wolff",
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title = "Evolutionary Humanoids for Embodied Artificial
Intelligence",
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school = "School of Physics and Engineering Physics, Chalmers
University of Technology and Goteborg University",
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year = "2003",
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type = "Licentiate thesis",
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address = "G{\"o}teborg, Sweden",
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month = dec,
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keywords = "genetic algorithms, genetic programming",
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URL = "https://research.chalmers.se/en/publication/2099",
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abstract = "The work presented in this thesis aims at
investigating the potential of a proposed methodology
to create a cognitive control architecture for a
humanoid robot. This architecture comprises three
hierarchical layers: the reactive layer, the model
building layer, and the reasoning layer. The
architecture is built on techniques from the field of
evolutionary computation, and more specifically
evolutionary algorithms. Based on very simple models of
organic evolution, these algorithms can be applied to
various problems such as combinatorial optimisation
problems or learning tasks. The field of artificial
intelligence is discussed from a robotics viewpoint.
The roles of different paradigms in AI research are
considered, and so are the principles of embodiment and
situatedness, which are fundamental in the behaviour
based robotics approach. Several evolutionary
experiments performed on real, physical humanoid robot
platforms are presented. These are presented mainly to
motivate the use of simulated evolution for control
programming of robots. In addition, these experiments
constitute a subset of the necessary building blocks of
the proposed cognitive humanoid robot architecture,
outlined in this thesis. The experiments include sound
localisation, two instances of machine vision, hand-eye
coordination, coordination of actuator motions in a
robot foot joint, and two instances regarding learning
and adaptivity.",
- }
Genetic Programming entries for
Krister Wolff
Citations