The aim of the thesis is a trajectory optimization of robot in the Ketchup House competition. Environment mapping system is proposed to deal with this issue. As an ideal solution is chosen a method of familiar environment scanning using a camera module and lidar. Camera module and lidar provide a possibility to scan up to nine searched objects, instead of one object allowed by the previous solution. A proximity sensor supplements the whole system, so the efficiency of detection increase. To find a particular position of the object on the playing field, image processing methods are used, namely line detection and thresholding. Moreover, new playing strategy and a new way of representing the playing field are implemented. Robot K4, created by PEF MENDELU AiStorm team, serves for application of the system.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:431564 |
| Date | January 2017 |
| Creators | Koten, Jan |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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