OCR Based Mapless Navigation Method of Robot
Sayyan N. Shaikh1, Neelakantha V. Londhe2

1Mr.Sayyan N. Shaikh, A budding professional pursuing M. Tech in Industrial Automation and Robotics from Srinivas Institute of Technology, Mangalore.India.
2Dr. Neelakantha V. Londhe, He is an Professor, Department of Mechanical Engineering at Srinivas Institute of Technology, Valachil, Mangalore, India.
Manuscript received on June 25, 2013. | Revised Manuscript Received on June 30, 2013. | Manuscript published on July 20, 2013. | PP: 6-12 | Volume-1, Issue-8, July 2013. | Retrieval Number: D097604416/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper reviews a method for a robot can locate and track landmarks using segmentation algorithm within proper distance, It extracts text or sign from the landmark and inputs them into the OCR engine for recognition. Simultaneously, a projection analysis of texts or signs of the landmark is conducted, finally by identifying the semanteme of text or signs the robot can find the routes to the destinations automatically. Experiments on the robot model shows that this method can be used to accomplish maples navigation task perfectly in the indoors or customised environment. Being able to navigate with landmarks in real life directly without generating maps or resetting new navigation sign for robots. Specially, this method can be applied in the field of service robots rapidly, which can enhance their adaptability and viability significantly.
Keywords: Mapless navigation, Landmark recognition, OCR, Kohonen Neural Network..