DocumentCode
3030054
Title
Recognition of lawn information for mowing robots
Author
Tsubata, Kensuke ; Suzuki, Keiji ; Mikami, Sadayoshi ; Osawa, Ei-Ichi
Author_Institution
Sch. of Syst. Inf. Sci., Future Univ.-Hakodate, Hakodate
fYear
2009
fDate
10-12 Feb. 2009
Firstpage
15
Lastpage
20
Abstract
In this paper, the method for recognition of lawn information in mowing robots (Robomower) is proposed. The mowing robots will be expected to work in open areas such as parks. To work in an open area, the robots must keep the safety of the public. It is necessary to collect surrounding information adequately. The Robomower is a small and low-power robot, which uses GPS information to get coordinates of its current position. It has many sensors: GPS, terrestrial magnetism direction sensor, ultrasonic wave sensors, tactile bumper switches etc. However, the robot did not have the means to measure the height of the grass. Reflection type sensors and image analysis system are not effective for this task. We need to recognize the lawn to complete mowing. We succeeded in measuring grass height with a simple, cheap sensor. The method is to estimate the height of the turf by using a transmission type photointerrupter. The effectiveness of the sensor was confirmed by experimentation.
Keywords
Global Positioning System; mobile robots; object recognition; safety; sensors; service robots; GPS information; Robomower; lawn information recognition; lawn sensor; mowing robots; safety; transmission type photointerrupter; turf height estimation; Global Positioning System; Magnetic sensors; Magnetic switching; Reflection; Robot kinematics; Robot sensing systems; Safety; Switches; Tactile sensors; Ultrasonic variables measurement; Lawn sensor; Mowing Robot; Multi Robot; Noncontact sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
Conference_Location
Wellington
Print_ISBN
978-1-4244-2712-3
Electronic_ISBN
978-1-4244-2713-0
Type
conf
DOI
10.1109/ICARA.2000.4803975
Filename
4803975
Link To Document