Difference between revisions of "C-SLAM"

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(System Architecture)
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The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot.
 
The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot.
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=Logical Structure=
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[[File:C_slam_logic.svg|400px|center]]
  
  

Revision as of 11:20, 4 October 2014

C-SLAM
Short Description: Development of a Cognitive SLAM system
Coordinator: AndreaBonarini (andrea.bonarini@polimi.it)
Tutor: AndreaBonarini (andrea.bonarini@polimi.it)
Collaborator:
Students: DavideTateo (davide.tateo@polimi.it)
Research Area: Robotics
Research Topic: Robot development
Start: 2013/04/12
End: 2014/10/31
Status: Active
Level: Ms
Type: Thesis

The Aim of this project is to build a Cognitive SLAM system.

The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot.

Logical Structure

C slam logic.svg


System Architecture

The system is developed using the ROS middleware. The sensor fusion algorithm used to implement localization is developed using the ROAMFREE library.

C slam architecture.svg