Show simple item record

dc.contributor.supervisor Peters, James F. (Electrical and Computer Engineering) en
dc.contributor.author Lockery, Daniel Alexander
dc.date.accessioned 2007-09-14T17:13:30Z
dc.date.available 2007-09-14T17:13:30Z
dc.date.issued 2007-09-14T17:13:30Z
dc.identifier.uri http://hdl.handle.net/1993/2824
dc.description.abstract 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. en
dc.format.extent 4524821 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Reinforcement learning en
dc.subject Line crawling robot en
dc.subject Target tracking en
dc.subject Monocular vision en
dc.subject Rough sets en
dc.subject Approximation spaces en
dc.subject Ethology en
dc.title Learning with ALiCE II en
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering en
dc.contributor.examiningcommittee Fazel-Rezai, Reza (Electrical and Computer Engineering) Balakrishnan, Subramaniam (Mechanical and Manufacturing Engineering) en
dc.degree.level Master of Science (M.Sc.) en
dc.description.note October 2007 en


Files in this item

This item appears in the following Collection(s)

Show simple item record

View Statistics