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
|
Text
Walking with EMO.pdf Download (44kB) | Preview |
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: | Chapter In Book |
|---|---|
| Keyword: | robots, Pareto solution, evolutionary multi-objective optimization (EMO) algorithm |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Department: | FACULTY > Faculty of Engineering |
| Depositing User: | MUNIRA BINTI MARASAN - |
| Date Deposited: | 27 Jul 2018 13:30 |
| Last Modified: | 27 Jul 2018 13:30 |
| URI: | https://eprints.ums.edu.my/id/eprint/20555 |
Actions (login required)
 |
View Item |