DocumentCode :
1773053
Title :
TL-OSR, a low cost mobile robot with open-source technology based on sensor fusion
Author :
Saboury, Arya ; Masouleh, Mehdi Tale
Author_Institution :
Dept. of Mechatron., Islamic Azad Univ., Qazvin, Iran
fYear :
2014
fDate :
15-17 Oct. 2014
Firstpage :
262
Lastpage :
267
Abstract :
This paper presents the state-of-the-art for building a low cost mobile robot with open-source technology based on sensor fusion. Designing open-source educational robots has a great impact on empowering engineers and those interested in mobile robots. In the last decade, different robots have been designed and built for this purpose. In this project, with the help of sensors available on a 9-axis open-source IMU and a robot based on open-source hardware and control software, a graphical user interface has been implemented to view the condition of motion variables in a real-time manner and combine sensor data. Moreover, by implementing different filter programs, such as low-pass filter, complementary filter and by using KF implementation and deliberation this mobile robot becomes suitable for improving the accuracy of the robot in extracting parameters required for localization, mapping and robot navigation. Features of the developed robot, the so-called TL-OSR, can be regarded as: using open-source hardware and software with real-time performance, low price equipment, presenting a solution based on sensor fusion for better accuracy in robot navigation and using different types of sensors. This robot can be used as an suitable open-source platform as a new class of mobile robots for educational and research purposes in mechatronics and robotics.
Keywords :
Kalman filters; educational robots; graphical user interfaces; low-pass filters; mechatronics; mobile robots; motion control; public domain software; sensor fusion; KF implementation; TL-OSR; complementary filter; control software; filter programs; graphical user interface; low cost mobile robot; low-pass filter; mechatronics; motion variables; open-source IMU; open-source educational robots; open-source hardware; open-source software; open-source technology; robot navigation; sensor fusion; DC motors; Hardware; Mobile robots; Open source software; Robot sensing systems; Complementary filter; IMU; Kalman filter; Mobile robots; Open-source; Sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Mechatronics (ICRoM), 2014 Second RSI/ISM International Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/ICRoM.2014.6990911
Filename :
6990911
Link To Document :
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