Kuyini i-Physical AI? Isikhathi se-'ChatGPT Moment' kweze-Logistics ne-Manufacturing

I-Physical AI ihlanganisa izinzwa zomhlaba wangempela nokufunda komshini ukuze imishini ikwazi ukubona, ukucabanga, nokwenza izinto endaweni enezinhlangothi ezintathu (3D). Ngokungafani namamodeli edijithali acubungula imibhalo kuphela, i-Physical AI ifunda kumakhamera, ezinzweni, nasekunyakazeni ukuze iqonde imbangela nemiphumela. Isikhulu se-NVIDIA, u-Jensen Huang, ukubiza lokhu "ngesikhathi se-ChatGPT" sokuzenzakalela kwezimboni, lapho i-AI isiba nomzimba, isuka kukhodi eqinile iye kuhlakanipho olushintshashintshayo. Lobu buchwepheshe buxhuma idatha yedijithali nezenzo zomzimba eziphathekayo.

I-Logistics nokukhiqiza yizindawo eziyinhloko zokuhlola lezi ntuthuko. Usebenzisa amasistimu azimele aqonda indawo nokuziphatha kwabantu ngesikhathi sangempela. Izinkampani ezifana ne-Amazon ne-Foxconn zisebenzisa lobu buchwepheshe ukuze zilawule izinselele zezindawo zokugcina izimpahla eziyinkimbinkimbi nokushoda kwabasebenzi. I-Physical AI iqhuba isigaba esisha sokusebenza kahle kwezimboni ngokwenza i-hardware ibe yimpahla ehlakaniphile esabela ngokushesha. I-Nextwaves Industries ihlinzeka ngengqalasizinda ye-RFID nesoftware edingekayo ukuze kufakwe idatha esezingeni eliphezulu kumamodeli we-AI, iqinisekisa ukubona konke kusukela ekuqaleni kuze kube sekugcineni (end-to-end).

Ngaphandle Kwesikrini: Incazelo Ye-Physical AI

I-Physical AI (PAI) ikhombisa ushintsho kusuka kuhlakanipho lwedijithali kuya kuhlakanipho olunomzimba. I-AI evamile isebenza ezindaweni ezibonwa kukhompuyutha kuphela icubungula amagama noma izithombe, kodwa i-Physical AI ihlangana nomhlaba ophathekayo. Inika isoftware umzimba. Lolu shintsho lusiza imishini ukuthi ingagcini nje ngokunikeza ulwazi, kodwa yenze umsebenzi womzimba endaweni yakho yokugcina izimpahla noma efektri.

Ingqikithi yalo buchwepheshe yisistimu evalelekile (closed-loop system). Ngokungafani nesoftware ejwayelekile elandela imiyalo elula, i-Physical AI isebenza ngomjikelezo oqhubekayo:

• Ukubona: Izinzwa namakhamera aqoqa idatha endaweni ezungezile.
• Ukucabanga: Isistimu icubungula idatha ukuze ithathe isinqumo.
• Ukwenza: Imishini noma amarobhothi enza ukunyakaza okuthile.

Isenzo ngasinye sakha idatha entsha, isistimu eyisebenzisa ngokushesha ukulungisa isinyathelo esilandelayo. Lo mjikelezo wempendulo usiza imishini ukuthi ijwayele izimo ezishintshayo efektri yakho.

Ukuze isebenze kahle, i-PAI idinga ukuhlakanipha kwendawo (spatial intelligence). Ama-Large Language Models (LLMs) ajwayelekile aqonda ukuhleleka kwamagama kodwa awawaqondi emithetho yefiziksi. Ukuhlakanipha kwendawo kusiza isistimu ukuqonda ubudlelwano be-3D, ukushona kwendawo, namandla. Kudlulela ngale kolimi kuye ekucabangeni kwendawo ye-3D. Leli khono lidingeka kakhulu kumarobhothi ahamba ezindaweni zokulayisha ezinabantu abaningi noma amasistimu azithathelayo izinto ezintekenteke ngaphandle kokuzilimaza.

I-Nextwaves Industries isekela lokhu kukhula ngengqalasizinda ye-hardware nesoftware ye-Physical AI. Ama-antenna e-RFID UHF asebenza kahle kakhulu nezinzwa kusebenza njengamehlo nezindlebe zesistimu. Ngokuhlanganisa i-hardware ye-RFID ye-Nextwaves nokucabanga kwe-PAI, uthola ukubona konke lapho uhlakanipho luhlangana khona nokwenza. Lokhu kuhlangana kushintsha indawo yakho isuke ekubeni yindawo nje iye kusistimu efundayo nesebenzayo. Ochwepheshe babikezela ukuthi imakethe yalo buchwepheshe izokhula isuka ku-$5.41 bhiliyoni ngo-2025 iye ngaphezulu kuka-$61 bhiliyoni ngo-2034 [liahnson.com](https://liahnson.com/insights/what-is-physical-ai-understanding-the-concept-principles-applications-and-future-outlook/).

Umngcele We-$61 Bhiliyoni: Izibalo Zemakethe Nokukhula

Umkhakha we-Physical AI (PAI) umele ushintsho olukhulu kusuka kumamodeli edijithali kuya emishinini esebenzisana nomhlaba wangempela. Idatha yemakethe iqinisekisa ukuthi lolu shintsho luyashesha. Ochwepheshe babikezela ukuthi imakethe ye-PAI izokhula isuka ku-$5.41 bhiliyoni ngo-2025 iye ngaphezulu kuka-$61 bhiliyoni ngo-2034. Lokhu kukhula kulingana ne-CAGR engu-31.26% ngonyaka.

Ukusetshenziswa kwangempela kukhombisa ukuthi i-PAI ikhulisa kanjani ezohwebo nokusebenza. Bheka lezi zibonelo zamanje:

• I-Logistics Ezimele: I-Waymo manje isiqedela uhambo lwamarobhothi (robotaxi) olukhokhelwayo olungu-450,000 ngeviki. Inkampani ihlose ukufika ohambweni oluyisigidi ngeviki ngo-2026. Lokhu kukhombisa ukuthi amasistimu okuzihambela awasekona nje ukuhlola.
• Umjaho Wamalungelo Okusungula (Patents) Emhlabeni: Ukuncintisana kukhulu kakhulu. I-China ihamba phambili kune-US ngo-5:1 kumalungelo okusungula amarobhothi afana nabantu, ifake amalungelo angu-7,705 eminyakeni emihlanu uma kuqhathaniswa nangu-1,561 e-US ngokusho kwe-theaienterprise.io.
• Amarobhothi Ezimboni: Imakethe yamarobhothi ezimboni ibheke ku-$57.67 bhiliyoni ngo-2035 ngokusho kwe-openpr.com.
• Ukunqoba Kwe-Hardware: I-hardware njengamanje ibambe u-56.40% wemakethe ye-Physical AI. Lokhu kuhlanganisa izinzwa, ama-chip e-AI, nezinto zokunyakazisa ezidingekayo ukuze umshini ubone ngokusho kwe-globenewswire.com.

I-Nextwaves Industries isekela lo mngcele ngenkundla ye-hardware ebalulekile ye-PAI. Ama-tag e-RFID nama-reader e-UHF ethu ahlinzeka ngedatha esezingeni eliphezulu edingwa amasistimu azimele ukuze abone futhi athole impahla. I-Physical AI idinga idatha yendawo enembile ukuze isebenze. Ngaphandle kokubona kahle izimpahla nendawo yazo, ngisho namamodeli e-AI athuthuke kakhulu awakwazi ukwenza umsebenzi we-logistics.

Lungiselela ingqalasizinda yakho kulokhu kukhula. Ukuhlanganisa i-hardware ehlakaniphile nezisombululo zesoftware njenge-VTTM (Vital Trace & Track Module) yethu kuqinisekisa ukuthi indawo yakho isilungele iminyaka eyishumi ezayo yokuzenzakalela. I-hardware ye-RFID esebenza kahle evela kwa-Nextwaves Industries iletha ukubona konke okudingekayo ochungechungeni lokuhlinzeka oluhlakaniphile noluzimele.

I-Tech Stack: I-Physical AI 'Icabanga' Futhi 'Inyakaza' Kanjani

I-Physical AI idinga ukwakheka kwamakhompyutha amathathu akhethekile ukuze isuke ekucabangeni kwedijithali iye ezenzweni zomzimba. Lokhu kwakheka kusiza amarobhothi ukuthi abone, acabange, futhi anyakaze ezindaweni eziyinkimbinkimbi njengezinqolobane nezitezi zasemafektri. I-Nextwaves Industries isebenzisa le hardware nesoftware ukuletha ukubona okuphelele nokulawula ukusebenza.

Izidingo zamakhompyutha amathathu zihlanganisa lezi zigaba ezilandelayo:

• Ikhompyutha 1: Ukuqeqesha (NVIDIA DGX). Lesi sigaba sokubala esinamandla sicubungula idatha eningi kakhulu ukuze sakhe amamodeli e-AI ayinhloko. Sisebenzisa i-Blackwell architecture ukuqeqesha amamodeli we-vision-language-action (VLA). Lawa mamodeli asiza isistimu ukuqonda indawo ye-3D nokubikezela ukunyakaza okulandelayo.
• Ikhompyutha yesi-2: Ukulingisa (NVIDIA Omniverse). Le khompyutha isebenzisa ikhophi yedijithali. Isebenzisa i-Cosmos world foundation model ukwakha indawo ebonakalayo efana ncam neyempela. Lokhu kusiza abahleli bezinhlelo ukuthi bahlole izinkulungwane zezimo ngasikhathi sinye ngaphandle kokukhathazeka ngokulimaza imishini yangempela.
• Ikhompyutha yesi-3: Ukwenza umsebenzi (NVIDIA Jetson AGX Thor). Lona yiprosesa esebenza ngaphakathi kurobhothi. Ihlala ngaphakathi emshinini ukuze icubungule idatha evela kuzinzwa (sensors) ngokushesha futhi ikhiphe nemiyalo. Isiza urobhothi ukuthi lisabele kulokho okwenzeka eduze kwalo ngemizuzwana nje encane.

Inselele enkulu yamarobhothi yigebe eliphakathi kwe-Sim-to-Real. Leli gama lisho umehluko phakathi kokusebenza kurobhothi elisendaweni yokulingisa nalawo asemhlabeni wangempela. Umhlaba wangempela unezinto eziningi ezingalindelekile njengokushintsha kokukhanya, uthuli, noma uhlobo lwenhlabathi. Ukuqoqa idatha eyanele yasemhlabeni wangempela kuthatha isikhathi futhi kubiza kakhulu.

Ukuze kuvalwe leli gebe, i-Nextwaves isebenzisa indlela yokwakha idatha yokuzenzela. Abahleli bezinhlelo basebenzisa i-Cosmos Transfer ukwakha idatha yokuqeqesha ebukeka njengeyempela ngaphakathi endaweni yokulingisa. Lokhu kwenza kube lula ukudala izigidi zezimo ezinzima okungaba nzima ukuziqopha ngesandla. Amarobhothi afunda ukuthi angenzani uma umshini ufa noma uma kukhona umuntu ongena endleleni, konke lokhu kwenzeka endaweni ephephile. Uma urobhothi selikwazi ukwenza kahle ekulingiseni, ungalifaka emishinini yangempela unethemba. Lokhu kusheshisa umsebenzi futhi kwehlise nezindleko zokuthuthukisa izinhlelo zokuhambisa izimpahla.

Ngalezi zigaba ezintathu zokubala, wenza umshini onganyakazi ube yinto ekhaliphile. I-tech stack ye-Nextwaves isiza ukuxhumanisa imishini nesoftware esezingeni eliphezulu ukuze kuhlanganiswe ukuhlela kwedijithali nokusebenza kwangempela. [blogs.nvidia.com](https://blogs.nvidia.com/blog/three-computers-robotics) [faf.ae](https://www.faf.ae/home/2026/1/15/understanding-nvidias-three-computer-architecture-for-physical-ai-systems)

I-Physical AI isebenza kanjani: Kusukela kumarobhothi afana nabantu kuye kwezokuthutha ezikhaliphile

I-Physical AI ishintsha imishini eyenza umsebenzi owodwa iye kokuthile okukhaliphile okukwazi ukuzivumelanisa nezimo. Lobu buchwepheshe busiza imishini ukuthi ibone, icabange, futhi isebenze emhlabeni we-3D. Ngokungafani namarobhothi amadala alandela imiyalo ehleliwe, i-Physical AI isebenzisa ama-foundation models ukufunda imisebenzi eyinkimbinkimbi ngokulingisa nangokubuka abantu.

Umthelela omkhulu ubonakala embonini yezimoto. I-Hyundai Motor Group ihlela ukukhiqiza amarobhothi afana nabantu abizwa nge-Atlas angu-30,000 ngonyaka kuye kufika u-2028 eMetaplant Georgia [axios.com](https://www.axios.com/2026/01/05/hyundai-humanoid-robots-boston-dynamics). Amarobhothi e-Boston Dynamics anamandla okujika ngezindlela ezingu-56 kanti amabhethri awo ahlala amahora angu-4 [newatlas.com](https://newatlas.com/ai-humanoids/boston-dynamics-production-atlas-hyundai/). I-Hyundai iwasebenzisela le misebenzi elandelayo:

• Ukuhlela izingxenye zezimoto nokuhambisa izimpahla emugqeni wokukhiqiza.
• Ukuhlanganisa izingxenye zezimoto kuye kufika u-2030.
• Ukuphakamisa izinto ezisindayo nokwenza imisebenzi ephindaphindwayo ukuze kuncishiswe ukulimala kwabantu.
• Ukunakekela imishini ezindaweni eziyingozi.

Lolu shintsho luthinta umhlaba wonke wezokukhiqiza nezokuthutha obiza izigidigidi zamadola. Impumelelo ithembele ekutheni izinto zihamba kahle kangakanani. I-PAI-Bench ihlola i-Physical AI ngezinto ezintathu ezibalulekile:

• Ukusebenza kahle: Isivinini nokunemba kokuqeda umsebenzi uma kuqhathaniswa nomuntu.
• Ukuphepha: Amandla okuhamba ezindaweni ezinabantu abaningi ngaphandle kokushayisana nabo.
• Ukonga amandla: Ukulinganisela phakathi kwamandla omshini nokuphila kwebhethri.

I-Nextwaves Industries isiza lolu shintsho ngokunikeza ingqalasizinda yedatha edingekayo. Ngenkathi amarobhothi esebenza, imishini yethu ye-RFID nesoftware ye-VTTM kunikeza uhlelo lwe-AI ulwazi oluphelele. Ama-antenna e-RFID UHF asiza ekulandeleni izingxenye zamarobhothi njengoba zihamba. Lokhu kuqinisekisa ukuthi i-Physical AI inemininingwane eqondile ngesikhathi sangempela ukuze kuhlelwe kahle indawo yokugcina izimpahla.

Imakethe yalobu buchwepheshe kulindeleke ukuthi ikhule isuke ku-$5.41 billion ngo-2025 iye ngaphezulu kuka-$61 billion ngo-2034. Amabhizinisi kumele aqale ukusebenzisa izindlela zokuthutha ezikhaliphile ukuze angasaleli emuva. Ungathuthukisa indlela osebenza ngayo manje ngokuxhumanisa i-RFID ye-Nextwaves nezinhlelo zakho zemishini.

Nextwaves Industries: Ukuxhumanisa i-RFID ne-PAI

I-Nextwaves Industries inikeza izinto ezibalulekile ukuze usuke emishinini elula uye ku-Physical AI. I-Physical AI idinga ukuqonda indawo ye-3D, kodwa ithembele kudatha esezingeni eliphezulu ukuze ibone izinto ezithile. I-RFID ye-Nextwaves isebenza njengezinzwa eziyinhloko zalolu hlelo. Ama-antenna ethu nama-reader e-RFID UHF anjengamehlo nezindlebe zendawo yokugcina izimpahla. Lokhu kusiza i-Physical AI ukuthi ibone izimpahla ngisho noma zingekho ngqo phambi kwayo.

Imishini yethu isiza i-Physical AI ngalezi zindlela:

• RFID Tags and Inlays: Lezi zinikeza umazisi wedijithali entweni ngayinye. Sisiza i-AI ukuthi ihlukanise izinto ezibukeka zifana kodwa eziya ezindaweni ezehlukene noma ezinezinsuku zokuphelelwa yisikhathi ezehlukene.
• High-Performance Readers: Lezi zisetshenziswa ziqopha ukunyakaza kwedatha ngokushesha. Zinikeza i-AI ulwazi olusha njalo mayelana nokuthi izinto zikuphi nokuthi zihamba ngasiphi isivinini.
• UHF Antennas: Lezi zinhlelo zibonisa indawo lapho izinto zitholakala khona. Sisiza i-AI ukuthi yazi kahle ukuthi into ingena nini noma iphuma nini ohlelweni oluthile.

I-Vital Trace & Track (VTTM) yakha isisekelo sedatha sokwenza izinqumo. I-Physical AI isebenzisa amamodeli omhlaba ukubikezela imiphumela. I-VTTM inikeza imininingwane eqondile ngesikhathi sangempela mayelana nezimpahla ezikhona nokuthi zikuphi. Lokhu kuvumela i-AI ukuthi ihambise izimpahla futhi iwashe indawo yokugcina izinto ngaphandle kosizo lomuntu. Ngokusho kwe-onetrack.ai, i-Physical AI ixhumanisa umhlaba wedijithali nomhlaba wangempela ngokusebenzisa idatha yezinzwa. I-Nextwaves isiza ngokunikeza idatha eluhlaza ukuze imishini ifunde kulokho ekubonayo ngempela.

Ngokuhlanganisa amathuluzi e-Nextwaves nesoftware ehlakaniphile, uthola ukubuka konke okwenzekayo kusukela ekuqaleni kuze kube sekugcineni. Lokhu kusebenzisana kwezobuchwepheshe kushintsha indlela yokuhambisa izimpahla isuke ekulindeni inkinga iye ohlelweni oluzenzakalelayo noluzimele. Ucwaningo lukhombisa ukuthi imakethe yamarobhothi izokhula isuke ku-$5.41 billion ngo-2025 iye ngaphezulu kuka-$61 billion ngo-2034. I-Nextwaves Industries isiza ibhizinisi lakho ukuthi lilungele lolu shintsho. Ukhuphula ukusebenza kahle ngokusebenzisa izixazululo zethu ze-RFID njengomgogodla wesu lakho le-Physical AI.

Isiphetho: Lungela Inguquko ye-Physical AI

Ukuhlangana kobuchwepheshe bendawo namathuluzi amarobhothi kuwuphawu lomlando omusha kwezimboni. Ochwepheshe be-NVIDIA ne-International Federation of Robotics babona unyaka ka-2026 njengesikhathi soshintsho olukhulu lwe-physical AI, lapho kuzofakwa amarobhothi afinyelela ku-619,000 ngonyaka economist.com. Ubona isikhathi esifana ne-ChatGPT kodwa emhlabeni wangempela. Lesi sikhathi seqile kuma-chatbot edijithali, siya ezinhlelweni ezizimele ezibonayo, ezicabangayo, futhi ezenza izinto khona lapho usebenzela khona.

Ukushintshela kubuchwepheshe obusebenza emhlabeni wangempela kudinga idatha eqinile. I-Physical AI ayisebenzi emoyeni. Idinga idatha enembile yesikhathi sangempela ukuze yakhe imephu yendawo futhi ilandelele izimpahla. Imakethe yalezi zinhlelo kulindeleke ukuthi ikhule isuke ku-$371.7 billion ngo-2025 iye ku-$2.4 trillion ngo-2032 worldtechnologycongress.org. Izinkampani ezingathuthukisi indlela ezithola ngayo idatha manje zizosala emuva ngokushesha.

Lungiselela ukukhiqiza kwakho nendawo yokugcina izinto ezibandayo ngale nguquko usebenzisa i-RFID ye-Nextwaves. Amathuluzi nesoftware yethu kunikeza imininingwane edingwa yi-physical AI ukuze iqhube futhi iphathe ukuhamba kwezimpahla zakho. Kumele ufake izimpahla zakho ohlelweni lwedijithali ukuze ukwazi ukwenza izinqumo ezizenzakalelayo.

Yenza lezi zinyathelo ukuze uvikele ikusasa lomsebenzi wakho:

• Faka ama-antenna nama-reader e-UHF RFID e-Nextwaves ukuze ube nedatha engunaphakade yama-AI model.
• Hlanganisa i-Vital Trace and Track Module (VTTM) ukuze ube nokubuka okucacile kokuphathwa kokulethwa kwezimpahla okuzenzakalelayo.
• Hlola uhlelo lwakho lwesitoko lwamanje ukuze uqiniseke ukuthi luyahambisana nezinhlelo zokufunda zemishini (machine learning).
• Sebenzisa ama-tag e-Nextwaves asebenza kakhulu ukuze wenze yonke ingxenye yempahla ibe yindawo yemininingwane ebalulekile.

Isikhathi sokuba ngabokuqala sesiyaphela. Isivinini sokukhula kwe-physical AI sikhombisa ukuthi amarobhothi asebenza njengabantu angafika ngisho nangonyaka ozayo thedeepview.com. Thintana ne-Nextwaves Industries namuhla ukuze uthuthukise ingqalasizinda yakho ube phambili kwezobuchwepheshe obuzenzakalelayo.