Thesis Topic Details

Topic ID:
3389
Title:
Wide-area mapping and localisation for robots
Supervisor:
Maurice Pagnucco
Research Area:
Artificial Intelligence, Robotics
Associated Staff
Assessor:
Claude Sammut
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE SE
Group Suitable:
Industrial:
Pre-requisites:
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Description:
Robots generate maps using sensor input and use them to plan their movements from one location to the next, but in a large, complex environment using one single map is neither desirable nor feasible. This project looks to develop a method for multi-mapping: segmenting generated maps, handling map transitions, and using the segmented maps for wide-area localisation.
Comments:
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Past Student Reports
 
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