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Minimising Energy Consumption for Robot Arm Movement
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. (Adaptive Manufacturing)ORCID iD: 0000-0002-8906-630X
Royal Institute of Technology, Stockholm, Sweden.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden. (Adaptive Manufacturing)ORCID iD: 0000-0001-8679-8049
2013 (English)In: Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013: Stockholm, Sweden 27-30 October 2013 / [ed] Andreas Archenti; Antonio Maffei, Stockholm, Sweden: KTH Royal Institute of Technology, 2013, Vol. 2, p. 125-134Conference paper, Published paper (Refereed)
Abstract [en]

Optimising the energy consumption of robot movements has been one of the main focuses for most of today’s robotic simulation software. This optimisation is based on minimising a robot’s joints movements. In many cases, it does not take into consideration the dynamic features. Therefore, reducing energy consumption is still a challenging task and it involves studying the robot’s kinematic and dynamic models together with application requirements. The primary focus of this research is to develop an optimisation model to reduce the energy consumption in robotic applications. An energy optimisation module reported in this paper was developed using Matlab. By solving the kinematics and dynamics equations of the robot, the module is able to optimise towards the minimum energy consumption of the robot’s movements. Moreover, placement of the targets in robot’s working area that minimise the energy consumption can be suggested. The results show the value of the reported approach as a tool for energy efficient robot path planning.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2013. Vol. 2, p. 125-134
Keywords [en]
energy consumption, optimisation, path planning, robot dynamics
National Category
Mechanical Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-9091ISBN: 978-91-7501-893-5 (print)OAI: oai:DiVA.org:his-9091DiVA, id: diva2:718336
Conference
3rd International Conference on Advanced Manufacturing Engineering and Technologies 27th-30th October 2013 Stockholm, Sweden
Available from: 2014-05-20 Created: 2014-05-20 Last updated: 2023-04-19Bibliographically approved

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Schmidt, BernardWang, Lihui

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • Other locale
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Output format
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