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...
Saved in:
Main Authors: | , |
---|---|
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 |