On‐line estimation of power model parameters for skid‐steer robots with applications in mission energy use prediction
Author:
Affiliation:
1. Materials and Manufacturing Office, Applied Research Laboratory The Pennsylvania State University University Park Pennsylvania USA
2. Department of Mechanical Engineering The Pennsylvania State University University Park Pennsylvania USA
Publisher
Wiley
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22076
Reference40 articles.
1. Learning for Autonomous Navigation
2. Canfield S.L. Hill T.W.&Zuccaro S.G.(2016)Modeling power requirements for skid‐steer mobile robots in manufacturing environments. In:2016 International Design Engineering Technical Conference and Computers and Information Engineering Conference Charlotte.
3. Prediction and Experimental Validation of Power Consumption of Skid-Steer Mobile Robots in Manufacturing Environments
4. ChuyJr. O. CollinsJr. E. Yu W.&Ordonez C.(2009)Power modeling of a skid steered wheeled robotic ground vehicle. In:Proceedings of the 2009 IEEE International Conference on Robotics and Automation pp.4118–4123.
5. Mobile Robots
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Energy Utilization Prediction Techniques for Heterogeneous Mobile Robots: A Review;Energies;2024-07-02
2. Adaptive sensor management for UGV monitoring based on risk maps;Robotics and Autonomous Systems;2024-02
3. Research on the influence of heavy-duty tracked vehicles parameters on steering driving process;International Journal of Heavy Vehicle Systems;2024
4. Analysis of Tread ICRs for Wheeled Skid-Steer Vehicles on Inclined Terrain;IEEE Access;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3