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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saboury, A. Masouleh, M.T. |
| Copyright Year | 2014 |
| Description | Author affiliation: Human & Robot Interaction Lab., Univ. of Tehran, Tehran, Iran (Masouleh, M.T.) || Dept. of Mechatron., Islamic Azad Univ., Qazvin, Iran (Saboury, A.) |
| 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. |
| Starting Page | 262 |
| Ending Page | 267 |
| File Size | 1896372 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479967438 |
| DOI | 10.1109/ICRoM.2014.6990911 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-15 |
| Publisher Place | Iran |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Open-source IMU Complementary filter Kalman filter Sensor fusion Robot sensing systems DC motors Hardware Mobile robots Open source software |
| Content Type | Text |
| Resource Type | Article |
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