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: |
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Industrial: |
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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 | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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