Fast CORDIC based Generalized-Voronoi-Diagram Hardware Accelerator for Efficient Robotic Exploration

Yi Zhan, Zihao Wang, Jiarui Xu, Guoyi Yu, F. An, Wenzheng Chi, Chao Wang
{"title":"Fast CORDIC based Generalized-Voronoi-Diagram Hardware Accelerator for Efficient Robotic Exploration","authors":"Yi Zhan, Zihao Wang, Jiarui Xu, Guoyi Yu, F. An, Wenzheng Chi, Chao Wang","doi":"10.1109/ICRAE50850.2020.9310864","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast-convergence CO-ordinate Rotation DIgital Computer (CORDIC) based Generalized Voronoi Diagram (GVD) hardware accelerator for efficient robotic path exploration. Owing to the high precision contributed by fast-convergence CORDIC, the proposed GVD hardware accelerator significantly improves the accuracy of the explored paths as compared to the baseline design. Higher precision of the exploration causes shorter trajectory of the robot, which further reduces the power consumption of the entire robot system. Therefore, our design is suitable to the battery-powered small-scale robots. FPGA implementation shows that, the proposed design operating at 12-bit fixed point achieves 54% higher precision of the explored paths and 20% lower power consumption of the robot system than the baseline design, respectively.","PeriodicalId":296832,"journal":{"name":"2020 5th International Conference on Robotics and Automation Engineering (ICRAE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Robotics and Automation Engineering (ICRAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAE50850.2020.9310864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a fast-convergence CO-ordinate Rotation DIgital Computer (CORDIC) based Generalized Voronoi Diagram (GVD) hardware accelerator for efficient robotic path exploration. Owing to the high precision contributed by fast-convergence CORDIC, the proposed GVD hardware accelerator significantly improves the accuracy of the explored paths as compared to the baseline design. Higher precision of the exploration causes shorter trajectory of the robot, which further reduces the power consumption of the entire robot system. Therefore, our design is suitable to the battery-powered small-scale robots. FPGA implementation shows that, the proposed design operating at 12-bit fixed point achieves 54% higher precision of the explored paths and 20% lower power consumption of the robot system than the baseline design, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于CORDIC的快速广义voronoi图硬件加速器用于机器人的高效探索
提出了一种基于快速收敛坐标旋转数字计算机(CORDIC)的广义Voronoi图(GVD)硬件加速器,用于高效的机器人路径探索。由于快速收敛的CORDIC所带来的高精度,与基线设计相比,所提出的GVD硬件加速器显著提高了探索路径的精度。更高的探测精度使得机器人的轨迹更短,从而进一步降低了整个机器人系统的功耗。因此,我们的设计适用于电池供电的小型机器人。FPGA实现表明,该设计在12位定点工作时,探索路径的精度比基线设计提高了54%,机器人系统功耗比基线设计降低了20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Dynamic Occlusion Handling for Real Time Object Perception Network-based H∞ Filter Design for T-S Fuzzy Systems with a Hybrid Event-triggered Scheme Optimal Task Allocation in Human-Robotic Assembly Processes Design and Development of a Novel External Pipe Crawling Robot ExPiRo Autonomous Amphibious Vehicle for Monitoring and Collecting Marine Debris
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1