Session

Mechatronics, Robotics, and System Engineering

Description

With the upcoming of cloud computing technology, the robots doesn’t have to act anymore on their own but they can learn from the experiences of other robots. The main idea of this proposal is how to share knowledge between heterogeneous robots and how to move the processing power from robots to the cloud via cloud computing. A demonstration is thought to be realized using clean robots and the services of cloud computing platform RoboEarth. The orientation and position coordinates of the cleaner robot can easily be calculated by using the encoder and electronic compass. The ultrasonic distance sensor will scan the environment for obstacles and for the borders of the unknown environment. All this information will be transferred to the cloud platform which then uses the path planning algorithm for the coverage of the complete environment for cleaning task. The processing power of the cloud technology enables the low cost production of the cleaner robot. The path planning algorithm based on small area segmentation will be used to control the robot motion and to cover the complete environment.

Keywords:

autonomous robots, cloud robot, share knowledge, path planning algorithms

Session Chair

Xhemajl Mehmeti

Session Co-Chair

Besart Pllana

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-24-0

First Page

179

Last Page

186

Location

Durres, Albania

Start Date

2-11-2013 12:45 PM

End Date

2-11-2013 1:00 PM

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Nov 2nd, 12:45 PM Nov 2nd, 1:00 PM

Cleaner Robot in the Cloud – "Cleo"

Durres, Albania

With the upcoming of cloud computing technology, the robots doesn’t have to act anymore on their own but they can learn from the experiences of other robots. The main idea of this proposal is how to share knowledge between heterogeneous robots and how to move the processing power from robots to the cloud via cloud computing. A demonstration is thought to be realized using clean robots and the services of cloud computing platform RoboEarth. The orientation and position coordinates of the cleaner robot can easily be calculated by using the encoder and electronic compass. The ultrasonic distance sensor will scan the environment for obstacles and for the borders of the unknown environment. All this information will be transferred to the cloud platform which then uses the path planning algorithm for the coverage of the complete environment for cleaning task. The processing power of the cloud technology enables the low cost production of the cleaner robot. The path planning algorithm based on small area segmentation will be used to control the robot motion and to cover the complete environment.