Labelling Lightweight Robot Energy Consumption: A Mechatronics-Based Benchmarking Metric Set

Juan Heredia, Robin Jeanne Kirschner, Christian Schlette, Saeed Abdolshah, Sami Haddadin, Mikkel Baun Kjaergaard

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Compliance with global guidelines for sustainable and responsible production in modern industry requires a comparative analysis of consumer devices' energy consumption (EC). This also holds true for the newly established generation of lightweight industrial robots (LIRs). To identify potential strategies for energy optimization, standardized benchmarking procedures are required. However, to the best of the authors' knowledge, there is currently no standardized method for benchmarking the EC of manipulators. In response to this need, we have developed a comprehensive benchmarking framework to evaluate the EC of various LIR designs, delving into the theoretical power consumption under both static and dynamic conditions. Our analysis has led to the proposal of seven proposed metrics - three static and four dynamic. The static metrics - controller consumption, joint electronics consumption, and mechanical brakes' consumption - evaluate the maintenance EC of the robot. Meanwhile, we suggest three dynamic metrics that gauge the system's energy efficiency during motion, with or without payload. We extend this metrics selection by introducing the cost of transportation map for manipulators. For each of the metrics, we suggest a standardized measurement procedure based on state-of-the-art norms and literature. The metric set and experimental procedures are demonstrated using five manipulators (UR3e, UR5e, FR3, M0609, Gen3). Among the results, we can see interesting trends for future optimization of the electronic components and their architecture, e.g., reducing the robot's EC by decentralizing computation via low-consumption onboard controllers for basic tasks and external servers for complex ones.

OriginalspracheEnglisch
Titel2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1789-1796
Seitenumfang8
ISBN (elektronisch)9781665491907
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 - Detroit, USA/Vereinigte Staaten
Dauer: 1 Okt. 20235 Okt. 2023

Publikationsreihe

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (elektronisch)2153-0866

Konferenz

Konferenz2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Land/GebietUSA/Vereinigte Staaten
OrtDetroit
Zeitraum1/10/235/10/23

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