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Robot programming by demonstration: a novel system for robot trajectory programming based on robot operating system

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Abstract

In this article, a new trajectory programming system that allows non-expert users to intuitively and efficiently program trajectories for robots is proposed. The system tracks a pen-shaped marker and obtains its position and orientation by processing the point cloud data of the workspace. A graphical user interface, which enables users to save and execute the acquired trajectory immediately after performing trajectory demonstration, is designed and developed for the system. The performance of the developed system is experimentally evaluated by using it to program trajectories for a UR5 robot. The results indicate that compared with traditional kinesthetic programming, the developed system has the potential of significantly reducing the ergonomic stress and workload of users. The system is developed based on the robot operating system, which facilitates its integration with different robot control systems.

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Acknowledgments

This research was supported by the Major Projects of Guangzhou City of China (Grant Nos. 201907010012, 201704030091 and 201607010041), the Guangdong Innovative and Entrepreneurial Research Team Program (Grant No. 2014ZT05G132), Shenzhen Peacock Plan (Grant No. KQTD2015033117354154), the Major Projects of Guangdong Province of China (Grant No. 2015B010919002), the Major Projects of Dongguan City of China (Grant No. 2017215102008), and the Nansha District International Science and Technology Cooperation Project of Guangzhou City of China (Grant No. 2016GJ004).

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Authors and Affiliations

  1. Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou, 511458, People’s Republic of China

    Hong-Da Zhang, Shou-Bin Liu, Qu-Jiang Lei, Yue He, Yang Yang & Yang Bai

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  1. Hong-Da Zhang
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  2. Shou-Bin Liu
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  3. Qu-Jiang Lei
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Correspondence to Qu-Jiang Lei.

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Zhang, HD., Liu, SB., Lei, QJ. et al. Robot programming by demonstration: a novel system for robot trajectory programming based on robot operating system. Adv. Manuf. 8, 216–229 (2020). https://doi.org/10.1007/s40436-020-00303-4

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