A Study on Power Consumption of a Humanoid Welcome Robot Using Battery Usage Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sihyeong Park | - |
dc.contributor.author | Noh, Donghun | - |
dc.contributor.author | Han, Jeakweon | - |
dc.date.accessioned | 2025-09-17T05:30:36Z | - |
dc.date.available | 2025-09-17T05:30:36Z | - |
dc.date.issued | 2025-08 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/126473 | - |
dc.description.abstract | This paper presents a systematic measurement and analysis of power consumption in a battery-powered humanoid welcome robot. Due to the high-power demands of both the actuation system and high-performance computing components, the robot's operating time can be limited. To address this issue, this study measures the power consumption of each component, analyzes major power loads, and collects real-world battery usage data under typical operating conditions. Based on this analysis, this study proposes a battery and power management strategy to ensure stable operation over extended periods. The findings of this study can serve as fundamental data for the design and energy-efficiency improvements of battery-powered humanoid welcome robots. © 2025 Elsevier B.V., All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A Study on Power Consumption of a Humanoid Welcome Robot Using Battery Usage Data | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ECTI-CON64996.2025.11100596 | - |
dc.identifier.scopusid | 2-s2.0-105014357245 | - |
dc.identifier.bibliographicCitation | 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2025 | - |
dc.citation.title | 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2025 | - |
dc.type.docType | Conference paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Battery Management Strategy | - |
dc.subject.keywordAuthor | Battery-powered Robots | - |
dc.subject.keywordAuthor | Energy Efficiency | - |
dc.subject.keywordAuthor | High-performance Computing | - |
dc.subject.keywordAuthor | Power Consumption Analysis | - |
dc.subject.keywordAuthor | Power Load Analysis | - |
dc.subject.keywordAuthor | Robotic Power Optimization | - |
dc.subject.keywordAuthor | Anthropomorphic Robots | - |
dc.subject.keywordAuthor | Battery Management Systems | - |
dc.subject.keywordAuthor | Electric Power Utilization | - |
dc.subject.keywordAuthor | Green Computing | - |
dc.subject.keywordAuthor | Information Management | - |
dc.subject.keywordAuthor | Machine Design | - |
dc.subject.keywordAuthor | Robot Operating System | - |
dc.subject.keywordAuthor | Secondary Batteries | - |
dc.subject.keywordAuthor | Battery Management | - |
dc.subject.keywordAuthor | Battery Management Strategy | - |
dc.subject.keywordAuthor | Battery Powered | - |
dc.subject.keywordAuthor | Battery-powered Robot | - |
dc.subject.keywordAuthor | Energy | - |
dc.subject.keywordAuthor | High-performance Computing | - |
dc.subject.keywordAuthor | Management Strategies | - |
dc.subject.keywordAuthor | Performance Computing | - |
dc.subject.keywordAuthor | Power Consumption Analysis | - |
dc.subject.keywordAuthor | Power Load Analysis | - |
dc.subject.keywordAuthor | Power Optimization | - |
dc.subject.keywordAuthor | Robotic Power Optimization | - |
dc.subject.keywordAuthor | Energy Efficiency | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.