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Collaborative robot monitoring and control for enhanced sustainability

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Abstract

This paper presents a new approach for real-time collaborations in adaptive manufacturing, including web-based remote monitoring and control of an industrial robot, and active collision avoidance for human–robot collaborations. It is enabled by using virtual 3D models driven by real sensor data and depth images of human operators. The objectives of this research are to significantly reduce network traffic needed for real-time monitoring over the Internet and to increase human safety in a human–robot coexisting environment. The ultimate goal is to enhance the sustainability of manufacturing operations in decentralised dynamic environments with safety protection. The results of a case study show that the approach consumes less than 1 % of network bandwidth of traditional camera-based methods and is feasible and practical as a web-based solution.

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Authors and Affiliations

  1. Department of Production Engineering, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden

    Lihui Wang

  2. Harbin University of Science and Technology, Harbin, China

    Lihui Wang

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  1. Lihui Wang
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Correspondence to Lihui Wang.

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Wang, L. Collaborative robot monitoring and control for enhanced sustainability. Int J Adv Manuf Technol 81, 1433–1445 (2015). https://doi.org/10.1007/s00170-013-4864-6

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  • DOI: https://doi.org/10.1007/s00170-013-4864-6

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