Thesis Topic Details

Topic ID:
3427
Title:
Semantic Mapping with Mobile Robots
Supervisor:
Maurice Pagnucco
Research Area:
Artificial Intelligence, Computer Vision, Algorithms
Associated Staff
Assessor:
Claude Sammut
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE SE
Group Suitable:
No
Industrial:
No
Pre-requisites:
COMP3411
Description:
Semantic mapping involves understanding the environment and making sense of it by identifying objects in the environment and the purpose of locations. For example, if one were in the kitchen you would expect to see objects likes plates, cups, cutlery, etc. Moreover, if you were in a room where you found plates, cups, cutlery, etc. you would identify it as the kitchen.

In this project we use Google Goggles supplemented by computer vision techniques to identify objects using a mobile robot and then infer the nature and purpose of locations in the environment.
Comments:
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Past Student Reports
  Jonathan Theng YEONG in s2, 2013
Semantic Mapping with Mobile Robots
 

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