Increasing the Energy Efficiency of Robotic Workplaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F24%3A10255498" target="_blank" >RIV/61989100:27230/24:10255498 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-59257-7_52" target="_blank" >https://doi.org/10.1007/978-3-031-59257-7_52</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-59257-7_52" target="_blank" >10.1007/978-3-031-59257-7_52</a>
Alternative languages
Result language
angličtina
Original language name
Increasing the Energy Efficiency of Robotic Workplaces
Original language description
Like other industrial sectors, the robotics industry is pressured to reduce energy consumption while maintaining production efficiency. In addition to the economic benefits, reducing consumption also reduces the carbon footprint of production. While reducing consumption by changing mechanical structures and restructuring production lines can be beneficial, it reduces the versatility of robotic workplaces and is timeconsuming. Our proposed solution reduces the energy consumption of therobotic workstation based on the optimal placement of the work object in the robotic cell. In this case, the optimization process is simulated on an industrial robot software platform. The result of the optimization is the determination of the most energy-optimal position for the placementof the work object. In experiments, it was found that up to 71.8% of the energy consumption of the 6-DOF industrial robot can be saved by this approach. The correlation between the simulated and real workplace tasks was also verified.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mechanisms and machine science. Volume 157
ISBN
978-3-031-59256-0
ISSN
2211-0984
e-ISSN
2211-0992
Number of pages
8
Pages from-to
523-531
Publisher name
Springer
Place of publication
Cham
Event location
Kluž
Event date
Jun 5, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001295610100051