Abstract
The ROS-Industrial open source project was intended to expand the applicability of industrial robots by reducing the gap that existed between researchers and manufacturers, in order to start developing state of the art applications for the industry. This is part of the scope of the PIR (Perception for Industrial Robots) project from the Pontificia Universidad Javeriana Bogotá (PUJ). PIR project looks for expanding robot’s capabilities for working in dynamic industrial environments. This paper presents the starting point of this project: the setup of the Motoman SDA_10 dual-arm robot with ROS-Industrial. In this paper, the different steps and modifications carried out to setup the system are presented. Simulation experiments and real tests were conducted in order to analyse and check the behaviour of the system. Results show some of the advantages of using ROS-Industrial, and the wide range of tasks that can be explored with these kind of robots from the research and application point of views (in Latin America only a few robots with this type of configuration is available for research purposes).
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References
The challenge: http://rosindustrial.org/the-challenge/
Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3, no. 3.2, p. 5 (2009)
ROS, Robot operating system (2016). http://www.ros.org
Garber, L.: Robot os: a new day for robot design. Computer 46(12), 16–20 (2013)
ROS-I, Robot operating system-industrial (2016). http://rosindustrial.org
Centro Tecnógico de Automatización Industrial, Pontificia Universidad Javeriana, Bogot (2016). http://www.javeriana.edu.co/blogs/ctai
YASKAWA, Motoman SDA10F robot (2016). https://www.motoman.com/industrial-robots/sda10f
Smith, C., Karayiannidis, Y., Nalpantidis, L., Gratal, X., Qi, P., Dimarogonas, D.V., Kragic, D.: Dual arm manipulation-a survey. Robot. Auton. Syst. 60(10), 1340–1353 (2012)
Tsarouchi, P., Makris, S., Michalos, G., Stefos, M., Fourtakas, K., Kaltsoukalas, K., Kontrovrakis, D., Chryssolouris, G.: Robotized assembly process using dual arm robot. Procedia CIRP 23, 47–52 (2014)
Messay, T., Ordóñez, R., Marcil, E.: Computationally efficient and robust kinematic calibration methodologies and their application to industrial robots. Robot. Comput. Integr. Manuf. 37, 33–48 (2016)
Gan, Y., Dai, X.: Human-like manipulation planning for articulated manipulator. J. Bionic Eng. 9(4), 434–445 (2012)
Martinez, A., Fernndez, E. (eds.): Learning ROS for Robotics Programming. Packt Publishing. http://www.packtpub.com/learning-ros-for-robotics-programming/book
Aitken, J.M., Veres, S.M., Judge, M.: Adaptation of system configuration under the robot operating system. In: 19th IFAC World Congress. IFAC Proceedings Volumes, no. 3, pp. 4484–4492
Ergur, S., Ozkan, M.: Trajectory planning of industrial robots for 3-d visualization a ros-based simulation framework. In: IEEE International Symposium on Robotics and Manufacturing Automation (ROMA 2014), pp. 206–211, December 2014
Tsarouchi, P., Makris, S., Michalos, G., Matthaiakis, A.-S., Chatzigeorgiou, X., Athanasatos, A., Stefos, M., Aivaliotis, P., Chryssolouris, G.: Ros based coordination of human robot cooperative assembly tasks-an industrial case study. Procedia CIRP 37, 254–259 (2015)
Amazon, Amazon robotics challenge. https://www.amazonrobotics.com/pickingchallenge
RobotValley TuDelft, Team delft wins the amazon picking challenge (2016)
Bharatheesha, M., Burger, R., Vries, M.D., Ko, W., Tan, J.: Motion module for the amazon picking challenge - team delft, August 2016
Robotiq, Industrial grippers (2016). http://robotiq.com
Motoman_Driver, ROS-I driver for Mottoman robots (2016). http://wiki.ros.org/motoman_driver
MoveIt, Motion planning framework (2016). http://moveit.ros.org
OMPL, The Open Motion Planning Library (2016). http://ompl.kavrakilab.org
Motoman_Driver-Especifications, Motoman driver M2092-EDS document. motoplus-ros especifications (2016). http://wiki.ros.org/motoman_driver
Video, Planning and executing trajectories with ROS-I (2016). https://youtu.be/mS05tVPRCq0
Acknowledgements
We would like to thank the Pontificia Universidad Javeriana for supporting this research. We also want to thank the Centro Tecnológico de Automatización Industrial (CTAI) for letting us use the installations and equipments for developing this research.
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Martinez, C., Barrero, N., Hernandez, W., Montaño, C., Mondragón, I. (2017). Setup of the Yaskawa SDA10F Robot for Industrial Applications, Using ROS-Industrial. In: Chang, I., Baca, J., Moreno, H., Carrera, I., Cardona, M. (eds) Advances in Automation and Robotics Research in Latin America. Lecture Notes in Networks and Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-54377-2_16
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DOI: https://doi.org/10.1007/978-3-319-54377-2_16
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