Thesis Topic Details

Topic ID:
3406
Title:
Navigate a Robot indoors
Supervisor:
Binghao Li
Research Area:
indoor navigation, Robotics, Image Processing
Associated Staff
Assessor:
Chris Rizos
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
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Description:
Wi-Fi has been widely accepted as an alternative method in GNSS unfriendly environments such as urban canyon and indoors. The method of Wi-Fi fingerprinting is the most commonly used indoor localisation technique. However, using Wi-Fi alone is not enough to navigate a TurtleBot robot, other sensors are needed. TurtleBot is a low-cost, personal robot kit with open-source software. Other sensors such as a Microsoft Kinect sensor, a Sick TiM310 laser scanner, TurtleBot inbuilt sensors such a gyro. New low cost sensors can also be added. The aim of this project is to explore and implement indoor localisation and navigation of the Turtlebot autonomous agent using Wi-Fi fingerprinting plus other techniques. In this project, you will learn Robot Operating System (ROS), Simultaneous Localisation and Mapping (SLAM), indoor localization and more. A demonstration of the robot to accomplish a delivery job from room A to room B is an expected outcome.
Comments:
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