Walking with EMO: Multi-objective robotics for evolving two, four, and six-legged locomotion

Teo, Jason Tze Wi and Lynnie D. Neri, and Nguyen, Minh H. and Hussein A. Abbass, (2008) Walking with EMO: Multi-objective robotics for evolving two, four, and six-legged locomotion. Multi-Objective Optimization in Computational Intelligence: Theory and Practice. pp. 300-332. ISSN 978-159904498-9

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Abstract

This chapter will demonstrate the various robotics applications that can be achieved using evolutionary multi-objective optimization (EMO) techniques. The main objective of this chapter is to demonstrate practical ways of generating simple legged locomotion for simulated robots with two, four and six legs using EMO. The operational performance as well as complexities of the resulting evolved Pareto solutions that act as controllers for these robots will then be analyzed. Additionally, the operational dynamics of these evolved Pareto controllers in noisy and uncertain environments, limb dynamics and effects of using a different underlying EMO algorithm will also be discussed.

Item Type: Book Chapter
Uncontrolled Keywords: robots, Pareto solution, evolutionary multi-objective optimization (EMO) algorithm
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: FACULTY > Faculty of Engineering
Depositing User: Munira
Date Deposited: 27 Jul 2018 05:30
Last Modified: 27 Jul 2018 05:30
URI: http://eprints.ums.edu.my/id/eprint/20555

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