Uhlolojikelele
I-AI kumarobhothi e-warehouse inika imishini ukubona nokuxhumana ukuze ihambise izimpahla, ikhethe izinto, futhi izule ezitezi eziminyene ngokuphepha. Kubalulekile ngoba ivumela izikhungo zokugcwalisa zibambe amavolumu amakhulu ngokushesha, ubusuku nemini, ngokulimala okumbalwa.
I-AI ku-Warehouse Robotics isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.
I-Deep Dive
Izitolo zesimanje zisebenza ngamarobhothi ahlanganiswe yi-AI. Isibonelo sokuqala amadrayivu e-Kiva (manje ase-Amazon Robotics) ase-Amazon, ama-squat orange bots aphakamisa wonke amashelufu ama-pods awalethe kubantu abacoshayo, aqede amamayela okuhamba. Ngale kwezokuthutha eziphathwayo, i-AI inika amandla izingalo zerobhothi ezibamba izinto ezinhlobonhlobo, izikhwama ezithambile, amabhokisi aqinile, ingilazi entekenteke, kusetshenziswa umbono wekhompyutha namamodeli okubamba aqeqeshiwe. Amarobhothi eselula e-Autonomous (AMRs) azulazula ngokuguquguqukayo eduze kwabantu nezithiyo esikhundleni sokulandela amathrekhi agxilile. Izinkampani ezifana ne-Symbotic, i-Locus Robotic, ne-Ocado zisebenzisa izinkulungwane zamayunithi ahlanganisiwe. Inselele ye-AI incane mayelana nanoma yiliphi irobhothi futhi imayelana nokuhlela uquqaba ukuze lungangqubuzani, luvale, noma lungenzi lutho, lukhulise ukuphuma kulo lonke isakhiwo.
I-Technical Insight
Ukucosha izingalo kuncike ekuboneni ngekhompyutha (ngokuvamile amakhamera we-3D ajulile) kanye nokufunda okujulile ukukhomba into futhi ubikezele ukuthi ungayibamba kuphi, 'indawo yokubamba.' Amasistimu afana ne-Covariant aqeqesha izigidi zemizamo yokukhetha ukuze imodeli eyodwa ijwayele izinto ezingabonwa. Ukuzulazula kusebenzisa i-SLAM (ukwenza kwasendaweni kanye kanye nokwenza imephu) ukwakha imephu ebukhoma nokuthola irobhothi ngaphakathi kwayo. Ukuxhumanisa i-Fleet kuyinkinga yokuthuthukisa ama-agent amaningi kanye nenkinga yokuhlela indlela, evame ukuxazululwa ngama-algorithms agcina imizila nezikhathi ukuvimbela ukungqubuzana nokukhiya.
Ukufundisa i-AI ku-Warehouse Robotics
I-AI kumarobhothi e-warehouse inika imishini ukubona nokuxhumana ukuze ihambise izimpahla, ikhethe izinto, futhi izule ezitezi eziminyene ngokuphepha. Kubalulekile ngoba ivumela izikhungo zokugcwalisa zibambe amavolumu amakhulu ngokushesha, ubusuku nemini, ngokulimala okumbalwa. I-AI ku-Warehouse Robotics isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI ku-Warehouse Robotics njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-AI ku-Warehouse Robotics aqondanisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
I-Amazon isebenzisa amarobhothi angaphezu kuka-750,000, okuhlanganisa namayunithi okushayela aletha amashalofu kubasebenzi kanye nezingalo zikaSparrow ezikhetha izinto ngazinye.
Isistimu esekelwe kugridi ye-Ocado isebenzisa inqwaba yama-bots antweza phezu kwesidleke ukuze abuyise amathothi egrosa ngemizuzwana ukuze uthole ama-oda aku-inthanethi.
Amarobhothi eselula azimele e-Locus Robotics aqondisa abasebenzi bezindawo ezigcina impahla ukuze bakhethe izindawo, bakhuphule ukukhetha ngehora ngaphandle kwama-conveyor angashintshi.
Ingqondo ka-Covariant ye-AI ivumela izingalo zerobhothi ukuthi zikhethe izinto ezihlukahlukene, ezingakaze zibonwe ngaphambili ezikhungweni zokusabalalisa zisebenzisa imodeli eyodwa efundiwe.
Amaphethini Okusebenzisa
I-AI ku-Warehouse Robotics isebenza
I-Amazon isebenzisa amarobhothi angaphezu kuka-750,000, okuhlanganisa namayunithi okushayela aletha amashalofu kubasebenzi kanye nezingalo zikaSparrow ezikhetha izinto ngazinye.
I-Amazon isebenzisa amarobhothi angaphezu kuka-750,000, okuhlanganisa namayunithi okushayela aletha amashalofu kubasebenzi kanye nezingalo zikaSparrow ezikhetha izinto ngazinye Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Warehouse Robotics isebenza
Isistimu esekelwe kugridi ye-Ocado isebenzisa inqwaba yama-bots antweza phezu kwesidleke ukuze abuyise amathothi egrosa ngemizuzwana ukuze uthole ama-oda aku-inthanethi.
Isistimu esekelwe kugridi ye-Ocado isebenzisa inqwaba yama-bots atshuza esidlekeni ukuze abuyise amathothi egrosa ngemizuzwana ukuze uthole ama-oda aku-inthanethi Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Warehouse Robotics isebenza
Amarobhothi eselula azimele e-Locus Robotics aqondisa abasebenzi bezindawo ezigcina impahla ukuze bakhethe izindawo, bakhuphule ukukhetha ngehora ngaphandle kwama-conveyor angashintshi.
Amarobhothi eselula e-Locus Robotics aqondisa izisebenzi zesitolo ukukhetha izindawo, athuthukise ukukhetha ngehora ngaphandle kwama-conveyor angashintshi Amaqembu ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Warehouse Robotics isebenza
Ingqondo ka-Covariant ye-AI ivumela izingalo zerobhothi ukuthi zikhethe izinto ezihlukahlukene, ezingakaze zibonwe ngaphambili ezikhungweni zokusabalalisa zisebenzisa imodeli eyodwa efundiwe.
Ingqondo ka-Covariant ye-AI ivumela izingalo zerobhothi ukuthi zikhethe izinto ezihlukahlukene, ezingakaze zibonwe ngaphambili ezikhungweni zokusabalalisa zisebenzisa imodeli eyodwa efundiwe Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.