Mobile robot navigation method, system and equipment and storage medium

The invention relates to the technical field of navigation, and provides a mobile robot navigation method, system and device and a storage medium, and the mobile robot navigation method comprises the steps: obtaining the current position, speed and target position of a mobile robot, and collecting s...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	HU HANQIAO, XIA TIANLEI, LIU XIAOKANG, WU HAIBIN, GE XIN, LU XIN, HOU SHUBIN, GONG LEI, CHU YANHUA, SU ZHENGHUA, WANG QING, ZHANG GUANYING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title
container_volume
creator	HU HANQIAO XIA TIANLEI LIU XIAOKANG WU HAIBIN GE XIN LU XIN HOU SHUBIN GONG LEI CHU YANHUA SU ZHENGHUA WANG QING ZHANG GUANYING
description	The invention relates to the technical field of navigation, and provides a mobile robot navigation method, system and device and a storage medium, and the mobile robot navigation method comprises the steps: obtaining the current position, speed and target position of a mobile robot, and collecting sensor information through a laser radar sensor; the current position, the speed, the target position and the sensor information are input into a preset deep hierarchical reinforcement learning map-free scene navigation model, robot driving action information is obtained, and the preset deep hierarchical reinforcement learning map-free scene navigation model comprises a high-layer target selection sub-model and a low-layer obstacle avoidance control sub-model; and controlling the mobile robot to travel to the target position based on the robot travel action information. According to the method, the construction time of the navigation model can be shortened, and the generalization is good, so that the navigation of t
format	Patent
fullrecord	<record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118443047A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118443047A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118443047A3</originalsourceid><addsrcrecordid>eNrjZHD3zU_KzElVKMpPyi9RyEssy0xPLMnMz1PITS3JyE_RUSiuLC5JzVVIzEtRSC0szSzITc0rAfOKS_KLEtNTgQpTMktzeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGFiYmxgYm5ozExagByojQC</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Mobile robot navigation method, system and equipment and storage medium</title><source>esp@cenet</source><creator>HU HANQIAO ; XIA TIANLEI ; LIU XIAOKANG ; WU HAIBIN ; GE XIN ; LU XIN ; HOU SHUBIN ; GONG LEI ; CHU YANHUA ; SU ZHENGHUA ; WANG QING ; ZHANG GUANYING</creator><creatorcontrib>HU HANQIAO ; XIA TIANLEI ; LIU XIAOKANG ; WU HAIBIN ; GE XIN ; LU XIN ; HOU SHUBIN ; GONG LEI ; CHU YANHUA ; SU ZHENGHUA ; WANG QING ; ZHANG GUANYING</creatorcontrib><description>The invention relates to the technical field of navigation, and provides a mobile robot navigation method, system and device and a storage medium, and the mobile robot navigation method comprises the steps: obtaining the current position, speed and target position of a mobile robot, and collecting sensor information through a laser radar sensor; the current position, the speed, the target position and the sensor information are input into a preset deep hierarchical reinforcement learning map-free scene navigation model, robot driving action information is obtained, and the preset deep hierarchical reinforcement learning map-free scene navigation model comprises a high-layer target selection sub-model and a low-layer obstacle avoidance control sub-model; and controlling the mobile robot to travel to the target position based on the robot travel action information. According to the method, the construction time of the navigation model can be shortened, and the generalization is good, so that the navigation of t</description><language>chi ; eng</language><subject>GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240806&DB=EPODOC&CC=CN&NR=118443047A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240806&DB=EPODOC&CC=CN&NR=118443047A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HU HANQIAO</creatorcontrib><creatorcontrib>XIA TIANLEI</creatorcontrib><creatorcontrib>LIU XIAOKANG</creatorcontrib><creatorcontrib>WU HAIBIN</creatorcontrib><creatorcontrib>GE XIN</creatorcontrib><creatorcontrib>LU XIN</creatorcontrib><creatorcontrib>HOU SHUBIN</creatorcontrib><creatorcontrib>GONG LEI</creatorcontrib><creatorcontrib>CHU YANHUA</creatorcontrib><creatorcontrib>SU ZHENGHUA</creatorcontrib><creatorcontrib>WANG QING</creatorcontrib><creatorcontrib>ZHANG GUANYING</creatorcontrib><title>Mobile robot navigation method, system and equipment and storage medium</title><description>The invention relates to the technical field of navigation, and provides a mobile robot navigation method, system and device and a storage medium, and the mobile robot navigation method comprises the steps: obtaining the current position, speed and target position of a mobile robot, and collecting sensor information through a laser radar sensor; the current position, the speed, the target position and the sensor information are input into a preset deep hierarchical reinforcement learning map-free scene navigation model, robot driving action information is obtained, and the preset deep hierarchical reinforcement learning map-free scene navigation model comprises a high-layer target selection sub-model and a low-layer obstacle avoidance control sub-model; and controlling the mobile robot to travel to the target position based on the robot travel action information. According to the method, the construction time of the navigation model can be shortened, and the generalization is good, so that the navigation of t</description><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHD3zU_KzElVKMpPyi9RyEssy0xPLMnMz1PITS3JyE_RUSiuLC5JzVVIzEtRSC0szSzITc0rAfOKS_KLEtNTgQpTMktzeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGFiYmxgYm5ozExagByojQC</recordid><startdate>20240806</startdate><enddate>20240806</enddate><creator>HU HANQIAO</creator><creator>XIA TIANLEI</creator><creator>LIU XIAOKANG</creator><creator>WU HAIBIN</creator><creator>GE XIN</creator><creator>LU XIN</creator><creator>HOU SHUBIN</creator><creator>GONG LEI</creator><creator>CHU YANHUA</creator><creator>SU ZHENGHUA</creator><creator>WANG QING</creator><creator>ZHANG GUANYING</creator><scope>EVB</scope></search><sort><creationdate>20240806</creationdate><title>Mobile robot navigation method, system and equipment and storage medium</title><author>HU HANQIAO ; XIA TIANLEI ; LIU XIAOKANG ; WU HAIBIN ; GE XIN ; LU XIN ; HOU SHUBIN ; GONG LEI ; CHU YANHUA ; SU ZHENGHUA ; WANG QING ; ZHANG GUANYING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118443047A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>HU HANQIAO</creatorcontrib><creatorcontrib>XIA TIANLEI</creatorcontrib><creatorcontrib>LIU XIAOKANG</creatorcontrib><creatorcontrib>WU HAIBIN</creatorcontrib><creatorcontrib>GE XIN</creatorcontrib><creatorcontrib>LU XIN</creatorcontrib><creatorcontrib>HOU SHUBIN</creatorcontrib><creatorcontrib>GONG LEI</creatorcontrib><creatorcontrib>CHU YANHUA</creatorcontrib><creatorcontrib>SU ZHENGHUA</creatorcontrib><creatorcontrib>WANG QING</creatorcontrib><creatorcontrib>ZHANG GUANYING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HU HANQIAO</au><au>XIA TIANLEI</au><au>LIU XIAOKANG</au><au>WU HAIBIN</au><au>GE XIN</au><au>LU XIN</au><au>HOU SHUBIN</au><au>GONG LEI</au><au>CHU YANHUA</au><au>SU ZHENGHUA</au><au>WANG QING</au><au>ZHANG GUANYING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Mobile robot navigation method, system and equipment and storage medium</title><date>2024-08-06</date><risdate>2024</risdate><abstract>The invention relates to the technical field of navigation, and provides a mobile robot navigation method, system and device and a storage medium, and the mobile robot navigation method comprises the steps: obtaining the current position, speed and target position of a mobile robot, and collecting sensor information through a laser radar sensor; the current position, the speed, the target position and the sensor information are input into a preset deep hierarchical reinforcement learning map-free scene navigation model, robot driving action information is obtained, and the preset deep hierarchical reinforcement learning map-free scene navigation model comprises a high-layer target selection sub-model and a low-layer obstacle avoidance control sub-model; and controlling the mobile robot to travel to the target position based on the robot travel action information. According to the method, the construction time of the navigation model can be shortened, and the generalization is good, so that the navigation of t</abstract><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier
ispartof
issn
language	chi ; eng
recordid	cdi_epo_espacenet_CN118443047A
source	esp@cenet
subjects	GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING
title	Mobile robot navigation method, system and equipment and storage medium
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A53%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=HU%20HANQIAO&rft.date=2024-08-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118443047A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true