Publikationer pr. år
Publikationer pr. år
Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review
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.
Originalsprog | Engelsk |
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Titel | 21st International Conference on Advanced Robotics (ICAR 2023) |
Forlag | IEEE |
Publikationsdato | dec. 2023 |
Sider | 340-347 |
ISBN (Trykt) | 979-8-3503-4229-1 |
ISBN (Elektronisk) | 9798350342291 |
DOI | |
Status | Udgivet - dec. 2023 |
Begivenhed | 21st International Conference on Advanced Robotics - Abu Dhabi, Forenede Arabiske Emirater Varighed: 5. dec. 2023 → 8. dec. 2023 |
Konference | 21st International Conference on Advanced Robotics |
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Land/Område | Forenede Arabiske Emirater |
By | Abu Dhabi |
Periode | 05/12/2023 → 08/12/2023 |
Navn | Proceedings of the International Conference on Advanced Robotics (ICAR) |
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ISSN | 2374-3255 |
Publikation: Afhandling › Ph.d.-afhandling