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Learning with ALiCE II

The problem considered in this thesis is the development of an autonomous prototype robot capable of gathering sensory information
from its environment allowing it to provide feedback on the condition of specific targets to aid in maintenance of hydro equipment. The context for the solution to this problem is based on the power grid environment operated by the local hydro utility. The intent is to monitor power line structures by travelling
along skywire located at the top of towers, providing a view of everything beneath it including, for example, insulators, conductors, and towers. The contribution of this thesis is a novel robot design with the potential to prevent hazardous situations and the use of rough coverage feedback modified reinforcement learning algorithms to establish behaviours.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/2824
Date14 September 2007
CreatorsLockery, Daniel Alexander
ContributorsPeters, James F. (Electrical and Computer Engineering), Fazel-Rezai, Reza (Electrical and Computer Engineering) Balakrishnan, Subramaniam (Mechanical and Manufacturing Engineering)
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_US
Detected LanguageEnglish

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