EcBot: Data-Driven Energy Consumption Open-Source MATLAB Library for Manipulators

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Abstract

Existing literature proposes models for estimating the electrical power of manipulators, yet two primary limitations prevail. First, most models are predominantly tested using traditional industrial robots. Second, these models often lack accuracy. To address these issues, we introduce an open source Matlab-based library designed to automatically generate Energy Consumption (EC) models for manipulators. The necessary inputs for the library are Denavit-Hartenberg parameters, link masses, and centers of mass. Additionally, our model is data-driven and requires real operational data, including joint positions, velocities, accelerations, electrical power, and corresponding timestamps. We validated our methodology by testing on four lightweight robots sourced from three distinct manufacturers: Universal Robots, Franka Emika, and Kinova. The model underwent testing, and the results demonstrated an RMSE ranging from 1.42 W to 2.80 W for the training dataset and from 1.45 W to 5.25 W for the testing dataset.

OriginalsprogEngelsk
Titel21st International Conference on Advanced Robotics (ICAR 2023)
ForlagIEEE
Publikationsdatodec. 2023
Sider340-347
ISBN (Trykt)979-8-3503-4229-1
ISBN (Elektronisk)9798350342291
DOI
StatusUdgivet - dec. 2023
Begivenhed21st International Conference on Advanced Robotics - Abu Dhabi, Forenede Arabiske Emirater
Varighed: 5. dec. 20238. dec. 2023

Konference

Konference21st International Conference on Advanced Robotics
Land/OmrådeForenede Arabiske Emirater
By Abu Dhabi
Periode05/12/202308/12/2023
NavnProceedings of the International Conference on Advanced Robotics (ICAR)
ISSN2374-3255

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