Interfacing Toolbox for Robotic Arms with Real-Time Adaptive Behavior Capabilities
Mineo, Carmelo and Wong, Cuebong and Vasilev, Momchil and Cowan, Bruce and MacLeod, Charles N. and Pierce, S. Gareth and Yang, Erfu (2019) Interfacing Toolbox for Robotic Arms with Real-Time Adaptive Behavior Capabilities. Preprint / Working Paper. University of Strathclyde, Glasgow. (https://doi.org/10.17868/70008)
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Abstract
Industrial robotic systems are increasingly being used to perform tasks requiring in-loop adaptive behavior to accommodate the demands of data-driven and autonomous manufacturing in the era of Industry 4.0. Achieving effective integration and the full potential of robotic systems presents significant challenges. This paper presents a C++ language-based toolbox, developed to facilitate the integration of industrial robotic arms with server computers, sensors and actuators. The new toolbox, namely the “Interfacing Toolbox for Robotic Arms” (ITRA), is fully flexible and extensible. It is capable of controlling multiple robots simultaneously, thus providing the opportunity for sophisticated manufacturing operations to be coordinated among multiple robots. ITRA can be used to achieve fast adaptive robotic systems, with latency as low as 30ms. Moreover, ITRA is cross-platform, allowing great flexibility between different computer architectures. The paper describes the architecture of ITRA, presents all its functions and gives some application examples.
ORCID iDs
Mineo, Carmelo ORCID: https://orcid.org/0000-0002-5086-366X, Wong, Cuebong ORCID: https://orcid.org/0000-0002-6541-6125, Vasilev, Momchil, Cowan, Bruce ORCID: https://orcid.org/0000-0003-3383-1559, MacLeod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769, Pierce, S. Gareth ORCID: https://orcid.org/0000-0003-0312-8766 and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
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Item type: Monograph(Preprint / Working Paper) ID code: 70008 Dates: DateEvent2 October 2019PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management
Strategic Research Themes > Advanced Manufacturing and Materials
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 02 Oct 2019 11:14 Last modified: 16 Dec 2024 01:18 URI: https://strathprints.strath.ac.uk/id/eprint/70008