Learning with ALiCE II
| dc.contributor.author | Lockery, Daniel Alexander | |
| dc.contributor.examiningcommittee | Fazel-Rezai, Reza (Electrical and Computer Engineering) Balakrishnan, Subramaniam (Mechanical and Manufacturing Engineering) | en |
| dc.contributor.supervisor | Peters, James F. (Electrical and Computer Engineering) | en |
| 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.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| 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.description.note | October 2007 | en |
| dc.format.extent | 4524821 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1993/2824 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| 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 | master thesis | en_US |