Design of a Multi-purpose Low-Cost Mobile Robot for Research and Education
Mobile robots are commonly used for research and education. Although there are several commercial mobile robots available for these tasks, they are often costly, do not always meet the characteristics needed for certain applications and are very difficult to adapt because they have proprietary software and hardware. In this paper, we present the design principles, and describe the development and applications of a mobile robot called ExaBot. Our main goal was to obtain a single multi-purpose low-cost robot -more than ten times cheaper than commercially available platforms- that can be used not only for research, but also for education and public outreach activities. The body of the ExaBot, its sensors, actuators, processing units and control board are described in detail. The software and printed circuit board developed for this project are open source to allow the robotics community to use and upgrade the current version. Finally, different configurations of the ExaBot are presented, showing several applications that fulfill the requirements this robotic platform was designed for.
KeywordsMobile Robot Print Circuit Board Proportional Integrative Derivative Robotic Platform Control Board
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- 1.Adept Mobile Robotics: Pioneer 2-DX and 3-DX (2013)Google Scholar
- 2.K-team corporation: Khepera, Khepera II and Khepera III (2013)Google Scholar
- 3.Garage, W.: Turtlebot (2011)Google Scholar
- 5.Rubenstein, M., Ahler, C., Nagpal, R.: Kilobot: A low cost scalable robot system for collective behaviors. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3293–3298 (2012)Google Scholar
- 8.RoboticsConnections: Traxster Kit (August 2012)Google Scholar
- 9.Bräunl, T.: Embedded Robotics - Mobile Robot Design and Applications with Embedded Systems, 2nd edn. Springer (2006)Google Scholar
- 10.De Cristóforis, P., Nitsche, M., Krajník, T., Mejail, M.: Real-time monocular image-based path detection. Journal of Real-Time Image Processing, 1–14 (2013)Google Scholar
- 11.De Cristóforis, P.: Vision-based mobile robot system for monocular navigation in indoor/outdoor environments. PhD thesis, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (2013)Google Scholar
- 12.Piré, T., de Cristóforis, P., Nitsche, M., Berlles, J.J.: Stereo vision obstacle avoidance using disparity and elevation maps. In: IEEE RAS Summer School on Robot Vision and Applications (2012)Google Scholar
- 13.Gonzalez, S., González, E.: Smartphones como Unidad de Sensado y Procesamiento para la Localización de Robots Móviles Utilizando Odometría Visual Monocular. Master’s thesis, Universidad de Buenos Aires (2013)Google Scholar