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Energy-efficient robot applications towards sustainable manufacturing
KTH Royal Institute of Technology, Stockholm, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
KTH Royal Institute of Technology, Stockholm, Sweden.
KTH Royal Institute of Technology, Stockholm, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-8906-630X
2018 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 31, no 8, p. 692-700Article in journal (Refereed) Published
Abstract [en]

The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.

Place, publisher, year, edition, pages
Taylor & Francis, 2018. Vol. 31, no 8, p. 692-700
Keywords [en]
energy-efficiency, robot configuration, trajectory, robotic assembly, cloud manufacturing
National Category
Robotics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14146DOI: 10.1080/0951192X.2017.1379099ISI: 000436966300003Scopus ID: 2-s2.0-85029705478OAI: oai:DiVA.org:his-14146DiVA, id: diva2:1143701
Available from: 2017-09-22 Created: 2017-09-22 Last updated: 2018-09-25Bibliographically approved

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Wang, LihuiSchmidt, Bernard

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  • apa
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Output format
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