Abstract
The teaching pendant, aiming to teach robots and control it, is an essential subsystem of industrial robots. However, robots from different manufacturers have different programming languages and interactive modes. If a new robot is built, robot’s developers have to rebuild the teach pendant meanwhile robot’s users have to restart learning how to use it. In addition, all teaching boxes can not work without connecting with robots thus it is inefficient to teach robots by keeping the teach pendant in hand. In this paper, a teaching system is proposed based on Robot Operating System Industrial (ROS-I). There are some improvements compared with other teach pendants. Firstly, it packages functions into different plug-ins, improving the flexibility for both robot users and developers. Secondly, we build the simulation environment using Gazebo. Thirdly, voice control module allows robot users to use robots easily without teaching pendant.
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References
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Gazebo advantage. http://www.gazebosim.org/
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Acknowledgments
This research was supported in part by National Natural Science Foundation of China under Grant 51575355 and National Science and Technology Major Project under Grant 2015ZX04005006.
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Shan, T., Ding, C., Liu, C., Zhuang, C., Wu, J., Xiong, Z. (2018). A Teaching System for Serial Robots Under ROS-I. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_32
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