Mumagadzirirwo emazuva ano ekuchengetera uye ekugadzira masisitimu, zvinhu uye zvigadzirwa zvekubata mashandiro zvakabva kubva pakutsamira kwechinyakare pabasa remaoko kana muchina wakapusa kuenda kumuenzaniso unoshanda wakanangana neatomatiki ekugadzirisa zvinhu. Mhinduro idzi dzinobva pamisimboti yakarongeka, kubatanidza maonero, sarudzo-kuita, nekuita kuti uwane kuzvimirira, nemazvo, uye nemafambisirwo ekufamba kwezvinhu pakati pemanodhi akasiyana, zvichiva tsigiro yakakosha yezvishandiso zvine hungwaru nekugadzira zvine hungwaru.
Misimboti yeotomatiki yekugadzirisa zvinhu zvinogona kupfupikiswa seyakavharwa-loop architecture ye "ruzivo rwekuona{1}}path planning-kudzora kufamba{3}}kubatanidzwa kwekuita." Iyo ruzivo rwekuona layer ine akasiyana masensa, zvitupa zvekuzivikanwa, uye masisitimu ekumisikidza, anosanganisira LiDAR, ekuona makamera, encoder, RFID vaverengi, uye inertial kuyerwa zvikamu. Izvi zvinounganidza-ruzivo rwenguva chaiyo pamusoro pezvakatipoteredza, nzvimbo dzezvinhu, maitiro emidziyo, nezvipingamupinyi, zvichipa mashoko akavimbika ezvisarudzo zvichazotevera-kuita nekuona kuti kune ruzivo rwakakwana rwemamiriro ezvinhu mukuchinja kukuru.
Zvichienderana nedata rinofungidzirwa, kuronga nzira uye kuronga algorithms kunouya kutamba. Iyo software system inogadzira inogoneka uye inobudirira mafambiro ekufamba zvichibva pane zvakanangwa zvibodzwa uye zvimhingamipinyi zvekubata mabasa (sekunzvenga zvipingaidzo, kumhanyisa miganhu, uye kunyatsoshandisa simba rekushandisa), uchishandisa magirafu kutsvaga, A* algorithm, Dijkstra's algorithm, kana sampling{{1}based stochastic nzira dzekuronga nzira. Muzviitiko zvakawanda-zvishandiso zvezvishandiso, chikamu chepakati chekuronga chinobatanidza-zvinzvimbo zvenguva uye mitsetse yebasa yechikamu chega chega chekubata nekugadzirisa pasi rose nekugova, kudzivirira kusangana nekupokana, uye kuwedzera mabudiro ese.
Iyo motion control layer ine basa rekushandura mhedzisiro yekuronga kuita chaiyo mirairo yekuuraya. Zvichienderana nekinematic modhi uye zvipingaidzo zvine simba, mutongi anoburitsa chaiyo kumhanya uye torque mirairo kune madhiraivha mayuniti (akadai semotor, mavhiri ekudhiraivha, uye servo masisitimu), kuve nechokwadi chekuti michina yekubata inoshanda zvakatsiga pamwe neyakafanotemerwa trajectory. Kumotokari dzakadai seAutomated Guided Vehicles (AGVs) neAutonomous Mobile Robots (AMRs), kutonga kwemhinduro uye kuvharwa-kugadziriswa kweloop kunowanzobatanidzwa kugadzirisa kutsauka kwenzira kunokonzerwa nekusaenzana kwepasi kana kuchinja kwekutakura munguva chaiyo, kuve nechokwadi chekugadzirisa nzvimbo uye kuchengetedzwa kwekushanda.
Kubatana kwekuita layer kunoratidza kubatanidzwa kwehurongwa. Material inobata michina inobatanidza neWarehouse Management Systems (WMS), Manufacturing Execution Systems (MES), uye mamwe magadzirirwo emagetsi ekugadzira, kugamuchira mirairo yebasa uye nekupa mhinduro pamamiriro ekuuraya kuti uwane kusanganisa kusina musono pakati pekuchengetedza, kuronga, uye kugadzira. Kuburikidza neprotocol yekukurukurirana yakabatana uye data interface, mayuniti ekubata emhando dzakasiyana uye marudzi anogona kushandirapamwe papuratifomu imwe chete, kugadzira inochinjika uye scalable logistics network.
Nheyo dzekuchengetedza dzinoshandiswa mukati memaitiro ese. Sisitimu iyi inosanganisira-nzira dzekudzivirira nhanho dzakawanda, dzinosanganisira nzvimbo dzakaganhurirwa uye kumhanya kunoganhurirwa padanho resoftware, kuona kudhumhana uye midziyo yekumisa emergency padanho rehardware, uye nzira dzekudzikisira kana kudzivirira dzevashandi vari kusvika, zvichiva nechokwadi chekuchengetedza vanhu nemidziyo uku uchivandudza kushanda zvakanaka.
Muchidimbu, magadzirirwo ekugadzirisa zvinhu anoenderana nemubatanidzwa wekuona, sarudzo-kuita, kutonga, nekushandira pamwe. Kuburikidza nedata-zvinofambiswa nehungwaru maalgorithms uye-magadzirirwo chaiwo emagetsi, vanowana kuyerera kwakachengeteka, kunoshanda, uye kuchinjika munzvimbo dzakaoma kunzwisisa, zvichipa hwaro hwekushanda hwakasimba hwecheni dzemazuva ano dzekugovera uye masisitimu ekugadzira.
