Official Paub|Lanxin tau txais daim ntawv pov thawj ntawm Kev Tshawb Fawb Txog Kev Tshawb Fawb thiab Technology Achievement hauv Zhejiang Xeev

Tsis ntev los no,Lanxin, ib tug thawj coj hauvArtificial txawj ntsethiabneeg hlau, ua tiav ib qho tseem ceeb tseem ceeb, raws li covZhejiang Provincial Department of Science thiab Technologyofficially muab khoom plig rau lub tuam txhabScience thiab Technology Achievement Registration Certificate(Register No.: DJ101002024Y0420). Qhov kev lees paub nto moo no qhia txog lub tuam txhab kev tshawb fawb pioneering hauvAIthiabrobotic technologies, lees paub qhov muaj nqis thiab cuam tshuam ntawm lawv txoj haujlwm tshiab hauv cov cheeb tsam no.

Cov ntsiab lus ntawm Kev Pom Zoo Tshaj Lij Tshaj Lij Tshaj Lij: "3D Lub Zeem Muag Kev Pom Zoo thiab Pawg Kev Txawj Ntse Cov Ntawv Thov rau Mobile Robots hauv Ultra-Large Complex Scenarios"

Lub hom phiaj thiab qhov tseem ceeb

Raws li daim ntawv thov ntawmindustrial mobile robotstob zuj zus, kev ua haujlwm ib puag ncig tau dhau los ua qhov loj thiab nyuaj, nrog cov kev xav tau siab dua. Tus naj npawb ntawm cov neeg hlau txawb uas xav tau rau kev sib koom tes hauv ib qhov chaw txuas ntxiv mus ntxiv nrog rau qhov ntsuas ntawm kev ua lag luam.Ultra-loj complex scenariostam sim no cov kev cov nyom tshiab rau mobile robots: nyob rau hauv cov expansive thiab dynamic ib puag ncig, loj-scale neeg hlau kev sib koom tes yog yuav tsum tau, thaum lub robots yuav tsum tau ua hauj lwm meej ntawm complex lub hom phiaj xws li reflective los yog me me cov khoom. Yog li ntawd, tsim kom muaj cov txheej txheem kev qhia dav dav rau kev ua haujlwm ntawm cov neeg hlau txawb hauv cov xwm txheej loj heev, thiab ua tiav daim ntawv thov kev lag luam yog qhov tseem ceeb rau kev sib tw hauv kev lag luam thoob ntiaj teb.

CovAMR (Autonomous Mobile Robot) thev naus laus zisteb yog dav thiab complex. Tam sim no domestic thiab thoob ntiaj teb kev nce qib hauvsensor technology, kev taw qhia, thiabrobotic teem sijhawmtseem tsis tau hloov kho kom haum rau qhov kev ua haujlwm zoo ntawm cov neeg hlau nyob rau hauv ib puag ncig ultra-loj complex. Qhov teeb meem tseem ceeb nyob hauv qhov xav tau los txhim kho cov neeg hlau muaj peev xwm rau kev nkag siab ntawm lub sijhawm tiag tiag thiab kev nkag siab ntawm qhov chaw muaj zog, nyuaj thiab lawv cov haujlwm. Qhov project no yog nyob rau ntawm "3D Vision Fusion Perception + AI Loj Model Technology" los tsim kom tau ib qho kev ua tiav rausemantic SLAM natural navigation, lub hom phiaj khoom pose kwv yees, autonomous robotic arm trajectory npaj, high-precision motion control, thiab loj-scale mobile neeg hlau teem sij hawm nyob rau hauv complex ib puag ncig. Cov txheej txheem no zoo dua hloov mus rau ntau haiv neeg, kho kom haum, thiab kev tsim khoom loj, nthuav dav rau daim ntawv thov ntawmAMRsthiab txhim kho stability, kev ruaj ntseg, thiab precision.

Kev Sib Tw

Nrog rau kev nthuav dav kev lag luam ntawm AMRs, kev tsim tus kheej thiab hloov pauv tau dhau los ua qhov tseem ceeb ntawm kev tsav tsheb yav tom ntejntse factories. Kev lag luam kev lag luam yog xav tau ntau dua qhov nyuaj thiab qhov tseeb, tshwj xeeb tshaj yog rau cov neeg hlau txawb ua haujlwm hauv ultra-loj, qhov chaw muaj zog heev. Txawm li cas los xij, ntau qhov kev tsis sib haum xeeb tseem nyob:

1. Hauv qhov lojKev ua haujlwm AMR, sensors yuav tsum pom cov ntaub ntawv ib puag ncig los ntawm kev ncua deb ntawm 30 meters lossis ntau dua nrog kev pom dav dav thiab kev daws teeb meem siab. Txawm li cas los xij, ob peb lub tshuab hluav taws xob hauv tsev ua tau raws li cov kev xav tau ntev ntev. Mainstream 3D lub zeem muag sensors, ob qho tib si hauv tsev thiab txawv teb chaws, feem ntau raug kev txom nyem los ntawm kev pom tsis txaus thiab kev daws teeb meem tsawg.
2. Nyob rau hauv xyoo tas los no, mobile robots tau tso siab raulaser-raws li SLAM(Simultaneous Localization and Mapping) thev naus laus zis rau scene maping thiab nrhiav tau cov ntaub ntawv. Txawm li cas los xij, txoj hauv kev no ntsib cov teeb meem tseem ceeb hauv spatial localization robustness thiab tseem kim.
3. Hauv kev ua haujlwm ua tau zoo, cov neeg hlau txav mus rau thaj chaw loj yuav tsum ua cov haujlwm meej ntawm cov hom phiaj nyuaj xws li kev xav lossis cov khoom me me. Robots feem ntau ntsib qhov yuam kev uas cuam tshuam rau kev ua haujlwm siab thiab kev ntseeg tau. Tsis tas li ntawd, muaj qhov tsis muaj qhov tsis muaj kev tswj hwm kev tiv thaiv kev tiv thaiv kev sib tw thiab kev tswj hwm kev ua haujlwm siab rau cov cuab yeej cuab yeej cuab tam hauv cov cheeb tsam nyuaj.

Qhov nyuaj ntawm kev teem caij algorithms nce exponentially nrog cov nplai ntawm mobile robots. Cov txheej txheem ib txwm muaj, xws li ntau daim duab qhia kev sib faib rau txoj kev npaj, tsuas yog txwv los ntawm kev teev teev teev teev thiab ib daim ntawv qhia kev muaj peev xwm. Hais txog cov ntaub ntawv silos kom ua tiav kev sib koom tes zoo ntawm "tus kheej" thiab "pab pawg" kev txawj ntse, nrog rau ntawm "mobile robots" thiab "docking stations," tseem yog qhov nyuaj rau kev lag luam.

Ntsiab Innovations

1. Tsim ib tug tswv3D pom kev sensornrog ntev-ntev, dav-ntev, thiab muaj peev xwm ua kom pom kev siab. Ib lub sensor tuaj yeem ua tiav qhov ntev-ntev thiab kev taw qhia, nruab nrab-ntau qhov cuam tshuam kev zam, thiab ze-ntau qhov siab-precision docking rau mobile robots.
2. Siv cov kev sib koom ua ke ntawm 2D thiab 3D co-visual thav duab, qhov project tsim kom muaj qhov ntom ntomSLAM systemraws li kev kawm tob rau kev siv tshuab. Los ntawm kev siv cov tswv yim xws li dynamic object filtering, zoo li qub feature li, thiab qhov muag plooj daim duab kwv yees, lub kaw lus enables markerless natural navigation rau mobile robots nyob rau hauv heev dynamic ib puag ncig.
3. Tsim ib qho "feature-duab" generation pose kwv yees txoj kev. Siv lub manifold piav qhia ntawm qhov chaw rau-seem, qhov project tsim ib tug dual-modal decoder rau pose mimicry thiab sib koom feature residuals kom ua tiav cov kev paub meej ntawm cov hom phiaj nyuaj. Tsis tas li ntawd, qhov project tsim autonomous obstacle kev zam trajectory npaj tshuab rau robotic caj npab nyob rau hauv complex ib puag ncig, tsim kom pom kev ua hauj lwm trajectories. Peb tes num kuj tau qhia txog kev txhawb nqa kev kawm txog kev tswj cov cuab yeej rau cov cuab yeej robotic raws li kev txheeb xyuas qhov tseeb feedforward, ua tiav kev ua haujlwm siab.
4. Ua raws li cov txheej txheem kev faib tawm uas siv cov kev tsis sib haum xeeb tsis pub muaj kev sib koom ua ke, kov yeej cov kev txwv ntawm kev teem caij teev teev teev los ntawm cov neeg sib tw cov txheej txheem ib txwm muaj xws li kev nthuav dav ntau lub server thiab ntau daim ntawv qhia segmentation. Los ntawm kev tsom mus rau kev tswj hwm kev ua haujlwm thiab kev sib koom tes ua haujlwm raws li cov txheej txheem sib txawv, thiab kev siv zog agraph convolutional neural network optimization algorithm, qhov project tau ua tiav kev sib koom ua ke ntawm ntau txhiab tus neeg hlau txawb ntawm ib daim ntawv qhia thawj zaug.

Pawg neeg soj ntsuam tau xaus lus tias qhov project no systematically tsim cov technologies tseem ceeb thiab software-hardware systems rau3D pom kev pomthiab pab pawg ntse daim ntawv thov rau mobile robots nyob rau hauv ultra-loj, complex scenarios. Qhov kev ua tiav tag nrho yog thoob ntiaj teb qib siab, nrog rau3D pom kev pom technologyntawm mobile robots mus txog lub ntiaj teb-ua theem.