Development of Navigation Algorithm for Autonomous Mobile Robot

Vision-based indoor mobile robot navigation is one of the most powerful and popular sensing method used for autonomous navigation. Compared with other on-board sensing techniques, vision-based approaches to navigation continue to demand attention from the mobile robot research community, due to their ability to provide detailed information about the environment which may not be available using combinations of other types of sensors.

The Visual navigation has many advantages. Some of them are listed below:

• Identification of exact location by applying image processing algorithms to the image.

Also, it overcomes the limitation to manage various sensors on the robot as the processing

of camera images try to make robot understand the exact situation in the same way as a

human eye works.

• The algorithm is quite effective to a data set with small size. Also, it’s quite accurate in

calculating the distance with a specific reference image and distance, without the need of

GPS.

• Provides excellent methods to measure detailed features of environment in which robotic

vehicle moves in surroundings.