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Vision based robot navigation for disaster scenarios

Publication Type : Journal Article

Thematic Areas : TIFAC-CORE in Cyber Security

Publisher : International Journal of Computer Applications

Source : International Journal of Computer Applications, Foundation of Computer Science, Volume 49, Number 6 (2012)

Url :

Campus : Coimbatore

School : Center for Spiritual Studies, School of Engineering

Center : TIFAC CORE in Cyber Security

Department : Computer Science, cyber Security, Electronics and Communication

Year : 2012

Abstract : This paper aims at providing real time vision based robotnavigation for disaster management scenarios. The task is to navigate a robot in unstructured environment by usinggestures. Navigation is an important task that is to be performed while traversing a particular path in disaster management scenario. There are various methodologies likeautonomous mapping and SLAM techniques in which the robot is trained itself to create the path by making a map, but training the robot and creating a map itself requires a lot of time and is a tedious process. Meanwhile in this approach a real time video streaming is done by the robot itself that is being transmitted to user who in turn controls the robot using gestures. Apart from streaming the video we also find the closest obstacle distance using IR sensors. For the purpose of performing a particular task for a detected gesture, the robot needs to have intelligence. This intelligence is the algorithm that is loaded into the robot to make it perform the task assigned to it. Here we make use of principle component analysis along with image moments for identifying the gestures and thereby controlling the robot. Real-time implementation is done on iRobot platform.

Cite this Research Publication : P. Sudheesh and Dr. Gireesh K. T., “Vision based robot navigation for disaster scenarios”, International Journal of Computer Applications, vol. 49, 2012.

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