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Abstract: This paper investigates the use of a multi-objective approach for evolving artificial neural networks that act as controllers for the legged locomotion of a 3-dimensional, artificial quadruped creature simulated in a physics-based environment. The Paretofrontier Differential Evolution (PDE) algorithm is used to generate a pareto optimal set of artificial neural networks that optimizes the conflicting objectives of maximizing locomotion behavior and minimizing neural network complexity. Here... (Update)
Context of citations to this paper: More
...its environment. Figure 2: Screen capture of quadruped in the simulation environment. The artificial creature, explained in detail in [19], is a basic quadruped with 4 short legs. It has 8 joint angle sensors (first 8 ANN inputs) corresponding to each of the hinge joints, 4...
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BibTeX entry: (Update)
Jason Teo and Hussein A. Abbass. Coordination and Synchronization of Locomotion in a Virtual Robot. In Submitted to ICONIP'02, 2002. http://citeseer.ist.psu.edu/teo02coordination.html More
@misc{ teo02coordination,
author = "J. Teo and H. Abbass",
title = "Coordination and Synchronization of Locomotion in a Virtual Robot",
text = "Jason Teo and Hussein A. Abbass. Coordination and Synchronization of Locomotion
in a Virtual Robot. In Submitted to ICONIP'02, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/teo02coordination.html" }
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