The research based on self-adaptive filter and Kalman filter on multi-robot

Lidan Gao; Zhonghua Huang; Nu Zhang; Shunhua Li; Yan Feng

doi:10.1007/978-3-642-27966-9_84

The research based on self-adaptive filter and Kalman filter on multi-robot

Lidan Gao^*, Zhonghua Huang, Nu Zhang, Shunhua Li, Yan Feng

^*此作品的通讯作者

机电学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The paper presents a method of ultrasonic and wireless network to the issue of co-location on multi-robot, and proposes a method that makes use of robot network and self-adaptive filter to achieve to process the signal of ultrasonic. Simulation results show that the proposed method can detect the signal of ultrasonic while there exists the complex ultrasonic noises in the environment which have the same frequency with the transmitting ultrasonic, and complete the task of robot positioning in the case of multi-robot collisions.

源语言	英语
主期刊名	Business, Economics, Financial Sciences, and Management
页	623-629
页数	7
DOI	https://doi.org/10.1007/978-3-642-27966-9_84
出版状态	已出版 - 2012
活动	2011 International Conference on Business, Economics, and Financial Sciences, Management, BEFM 2011 - Jeju Island, 韩国期限: 30 12月 2011 → 31 12月 2011

出版系列

姓名	Advances in Intelligent and Soft Computing
卷	143 AISC
ISSN（印刷版）	1867-5662

会议

会议	2011 International Conference on Business, Economics, and Financial Sciences, Management, BEFM 2011
国家/地区	韩国
市	Jeju Island
时期	30/12/11 → 31/12/11

访问文件

10.1007/978-3-642-27966-9_84

其它文件与链接

链接到 Scopus 的出版物

引用此

Gao, L., Huang, Z., Zhang, N., Li, S., & Feng, Y. (2012). The research based on self-adaptive filter and Kalman filter on multi-robot. 在 Business, Economics, Financial Sciences, and Management (页码 623-629). (Advances in Intelligent and Soft Computing; 卷 143 AISC). https://doi.org/10.1007/978-3-642-27966-9_84

@inproceedings{c06e724310a94f23929146a15da1ad94,

title = "The research based on self-adaptive filter and Kalman filter on multi-robot",

abstract = "The paper presents a method of ultrasonic and wireless network to the issue of co-location on multi-robot, and proposes a method that makes use of robot network and self-adaptive filter to achieve to process the signal of ultrasonic. Simulation results show that the proposed method can detect the signal of ultrasonic while there exists the complex ultrasonic noises in the environment which have the same frequency with the transmitting ultrasonic, and complete the task of robot positioning in the case of multi-robot collisions.",

keywords = "Self-adaptive filter, co-location, multi-robot, ultrasonic",

author = "Lidan Gao and Zhonghua Huang and Nu Zhang and Shunhua Li and Yan Feng",

year = "2012",

doi = "10.1007/978-3-642-27966-9_84",

language = "English",

isbn = "9783642279652",

series = "Advances in Intelligent and Soft Computing",

pages = "623--629",

booktitle = "Business, Economics, Financial Sciences, and Management",

note = "2011 International Conference on Business, Economics, and Financial Sciences, Management, BEFM 2011 ; Conference date: 30-12-2011 Through 31-12-2011",

}

Gao, L, Huang, Z, Zhang, N, Li, S & Feng, Y 2012, The research based on self-adaptive filter and Kalman filter on multi-robot. 在 Business, Economics, Financial Sciences, and Management. Advances in Intelligent and Soft Computing, 卷 143 AISC, 页码 623-629, 2011 International Conference on Business, Economics, and Financial Sciences, Management, BEFM 2011, Jeju Island, 韩国, 30/12/11. https://doi.org/10.1007/978-3-642-27966-9_84

TY - GEN

T1 - The research based on self-adaptive filter and Kalman filter on multi-robot

AU - Gao, Lidan

AU - Huang, Zhonghua

AU - Zhang, Nu

AU - Li, Shunhua

AU - Feng, Yan

PY - 2012

Y1 - 2012

N2 - The paper presents a method of ultrasonic and wireless network to the issue of co-location on multi-robot, and proposes a method that makes use of robot network and self-adaptive filter to achieve to process the signal of ultrasonic. Simulation results show that the proposed method can detect the signal of ultrasonic while there exists the complex ultrasonic noises in the environment which have the same frequency with the transmitting ultrasonic, and complete the task of robot positioning in the case of multi-robot collisions.

AB - The paper presents a method of ultrasonic and wireless network to the issue of co-location on multi-robot, and proposes a method that makes use of robot network and self-adaptive filter to achieve to process the signal of ultrasonic. Simulation results show that the proposed method can detect the signal of ultrasonic while there exists the complex ultrasonic noises in the environment which have the same frequency with the transmitting ultrasonic, and complete the task of robot positioning in the case of multi-robot collisions.

KW - Self-adaptive filter

KW - co-location

KW - multi-robot

KW - ultrasonic

UR - http://www.scopus.com/inward/record.url?scp=84858988420&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-27966-9_84

DO - 10.1007/978-3-642-27966-9_84

M3 - Conference contribution

AN - SCOPUS:84858988420

SN - 9783642279652

T3 - Advances in Intelligent and Soft Computing

SP - 623

EP - 629

BT - Business, Economics, Financial Sciences, and Management

T2 - 2011 International Conference on Business, Economics, and Financial Sciences, Management, BEFM 2011

Y2 - 30 December 2011 through 31 December 2011

ER -

The research based on self-adaptive filter and Kalman filter on multi-robot

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此