Loading…

Distributed communication/navigation robot vehicle network

This paper describes algorithms for forming a communication/navigation network of robotic vehicles inside a building. All ultrasound ranging system on each vehicle is used to determine the distance between vehicles in the network. This distance information is transformed into x,y position informatio...

Full description

Saved in:
Bibliographic Details
Main Authors: Feddema, J.T., Schoenwald, D.A.
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 578
container_issue
container_start_page 573
container_title
container_volume 14
creator Feddema, J.T.
Schoenwald, D.A.
description This paper describes algorithms for forming a communication/navigation network of robotic vehicles inside a building. All ultrasound ranging system on each vehicle is used to determine the distance between vehicles in the network. This distance information is transformed into x,y position information using a steepest descent algorithm that minimizes the error between measured distances and estimated distances (determined from estimated x,y position). This same optimization function is also used to guide the vehicles into a desired formation specified by the desired distance between vehicles. When used for guidance, the gradient vector is used as the commanded input to each vehicle. Most importantly, the algorithm does not require knowledge of the distance between every vehicle node, only those closest to it. Therefore, the algorithm can be distributed amongst the vehicles, providing a global control for the entire system using only local control laws implemented on each vehicle.
doi_str_mv 10.1109/WAC.2002.1049498
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1049498</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1049498</ieee_id><sourcerecordid>1049498</sourcerecordid><originalsourceid>FETCH-ieee_primary_10494983</originalsourceid><addsrcrecordid>eNp9jrEKwjAUAAMiKNpdcOkP2L600SRuUhU_QHAsaY36tE0kSSv-vSDOTndwyxEyo5BQCjI9bYokA8gSCkwyKQYkklxQIWSeL6lYjUjk_R0AqGSccT4m6y364LDqgj7HtW3bzmCtAlqTGtXj9auxs5UNca9vWDc6Njq8rHtMyfCiGq-jHydkvt8di8MCtdbl02Gr3Lv8neT_6wcGEDgm</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Distributed communication/navigation robot vehicle network</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Feddema, J.T. ; Schoenwald, D.A.</creator><creatorcontrib>Feddema, J.T. ; Schoenwald, D.A.</creatorcontrib><description>This paper describes algorithms for forming a communication/navigation network of robotic vehicles inside a building. All ultrasound ranging system on each vehicle is used to determine the distance between vehicles in the network. This distance information is transformed into x,y position information using a steepest descent algorithm that minimizes the error between measured distances and estimated distances (determined from estimated x,y position). This same optimization function is also used to guide the vehicles into a desired formation specified by the desired distance between vehicles. When used for guidance, the gradient vector is used as the commanded input to each vehicle. Most importantly, the algorithm does not require knowledge of the distance between every vehicle node, only those closest to it. Therefore, the algorithm can be distributed amongst the vehicles, providing a global control for the entire system using only local control laws implemented on each vehicle.</description><identifier>ISBN: 9781889335186</identifier><identifier>ISBN: 1889335185</identifier><identifier>DOI: 10.1109/WAC.2002.1049498</identifier><language>eng</language><publisher>IEEE</publisher><subject>Base stations ; Control systems ; Indoor environments ; Navigation ; Radio frequency ; Remotely operated vehicles ; Robotics and automation ; Robots ; Ultrasonic imaging ; Ultrasonic variables measurement</subject><ispartof>Proceedings of the 5th Biannual World Automation Congress, 2002, Vol.14, p.573-578</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1049498$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1049498$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Feddema, J.T.</creatorcontrib><creatorcontrib>Schoenwald, D.A.</creatorcontrib><title>Distributed communication/navigation robot vehicle network</title><title>Proceedings of the 5th Biannual World Automation Congress</title><addtitle>WAC</addtitle><description>This paper describes algorithms for forming a communication/navigation network of robotic vehicles inside a building. All ultrasound ranging system on each vehicle is used to determine the distance between vehicles in the network. This distance information is transformed into x,y position information using a steepest descent algorithm that minimizes the error between measured distances and estimated distances (determined from estimated x,y position). This same optimization function is also used to guide the vehicles into a desired formation specified by the desired distance between vehicles. When used for guidance, the gradient vector is used as the commanded input to each vehicle. Most importantly, the algorithm does not require knowledge of the distance between every vehicle node, only those closest to it. Therefore, the algorithm can be distributed amongst the vehicles, providing a global control for the entire system using only local control laws implemented on each vehicle.</description><subject>Base stations</subject><subject>Control systems</subject><subject>Indoor environments</subject><subject>Navigation</subject><subject>Radio frequency</subject><subject>Remotely operated vehicles</subject><subject>Robotics and automation</subject><subject>Robots</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic variables measurement</subject><isbn>9781889335186</isbn><isbn>1889335185</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9jrEKwjAUAAMiKNpdcOkP2L600SRuUhU_QHAsaY36tE0kSSv-vSDOTndwyxEyo5BQCjI9bYokA8gSCkwyKQYkklxQIWSeL6lYjUjk_R0AqGSccT4m6y364LDqgj7HtW3bzmCtAlqTGtXj9auxs5UNca9vWDc6Njq8rHtMyfCiGq-jHydkvt8di8MCtdbl02Gr3Lv8neT_6wcGEDgm</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Feddema, J.T.</creator><creator>Schoenwald, D.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Distributed communication/navigation robot vehicle network</title><author>Feddema, J.T. ; Schoenwald, D.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_10494983</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Base stations</topic><topic>Control systems</topic><topic>Indoor environments</topic><topic>Navigation</topic><topic>Radio frequency</topic><topic>Remotely operated vehicles</topic><topic>Robotics and automation</topic><topic>Robots</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic variables measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Feddema, J.T.</creatorcontrib><creatorcontrib>Schoenwald, D.A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Feddema, J.T.</au><au>Schoenwald, D.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Distributed communication/navigation robot vehicle network</atitle><btitle>Proceedings of the 5th Biannual World Automation Congress</btitle><stitle>WAC</stitle><date>2002</date><risdate>2002</risdate><volume>14</volume><spage>573</spage><epage>578</epage><pages>573-578</pages><isbn>9781889335186</isbn><isbn>1889335185</isbn><abstract>This paper describes algorithms for forming a communication/navigation network of robotic vehicles inside a building. All ultrasound ranging system on each vehicle is used to determine the distance between vehicles in the network. This distance information is transformed into x,y position information using a steepest descent algorithm that minimizes the error between measured distances and estimated distances (determined from estimated x,y position). This same optimization function is also used to guide the vehicles into a desired formation specified by the desired distance between vehicles. When used for guidance, the gradient vector is used as the commanded input to each vehicle. Most importantly, the algorithm does not require knowledge of the distance between every vehicle node, only those closest to it. Therefore, the algorithm can be distributed amongst the vehicles, providing a global control for the entire system using only local control laws implemented on each vehicle.</abstract><pub>IEEE</pub><doi>10.1109/WAC.2002.1049498</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781889335186
ispartof Proceedings of the 5th Biannual World Automation Congress, 2002, Vol.14, p.573-578
issn
language eng
recordid cdi_ieee_primary_1049498
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Base stations
Control systems
Indoor environments
Navigation
Radio frequency
Remotely operated vehicles
Robotics and automation
Robots
Ultrasonic imaging
Ultrasonic variables measurement
title Distributed communication/navigation robot vehicle network
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T11%3A30%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Distributed%20communication/navigation%20robot%20vehicle%20network&rft.btitle=Proceedings%20of%20the%205th%20Biannual%20World%20Automation%20Congress&rft.au=Feddema,%20J.T.&rft.date=2002&rft.volume=14&rft.spage=573&rft.epage=578&rft.pages=573-578&rft.isbn=9781889335186&rft.isbn_list=1889335185&rft_id=info:doi/10.1109/WAC.2002.1049498&rft_dat=%3Cieee_6IE%3E1049498%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-ieee_primary_10494983%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1049498&rfr_iscdi=true