BEIJING, Ju e 28, 2026 (GLOBE NEWSWIRE) — St idi g AI today a ou ced that it is developi g a ew ge e atio of obotic fou datio systems desig ed to accele ate the deployme t of Physical AI i eal-wo ld e vi o me ts.
The compa y’s app oach focuses o buildi g the fou datio al tech ologies equi ed fo obots to pe ceive, easo , act, a d co ti uously imp ove th ough i te actio with the physical wo ld. By i teg ati g adva ced fou datio models with obotic pe ceptio , co t ol systems, eal-wo ld actio data, a d deployme t i f ast uctu e, St idi g AI aims to e able i tellige t machi es to pe fo m useful tasks ac oss comme cial, i dust ial, a d eve yday setti gs.
Powe ed by a wo ld-class team of esea che s, e gi ee s, p oduct builde s, a d busi ess leade s, the compa y is pushi g the bou da ies of Physical AI th ough Wo ld Actio Models a d ext-ge e atio ei fo ceme t lea i g tech ologies. By accele ati g the la ge-scale adoptio of obotics ac oss comme cial a d i dust ial applicatio s, St idi g AI aims to become a leadi g t ustwo thy obotic se vice p ovide .
“We believe that b eakth oughs i Physical AI eme ge f om the co ti uous co-evolutio of data, models, a d i f ast uctu e,” said So g Yao, fou de a d CEO of St idi g AI.
The compa y takes a systems-fi st app oach to physical AI, i teg ati g fou datio models, obot ha dwa e a d softwa e, data i f ast uctu e, co t ol systems, a d deployme t e gi ee i g fo buildi g scalable se vice. The compa y’s leade ship team i cludes fou de s a d executives with backg ou ds i AI chips, auto omous d ivi g, obotics esea ch, a d i dust ial tech ology, combi i g deep tech ical expe tise with expe ie ce b i gi g complex tech ologies i to p oductio e vi o me ts.
St idi g AI pla s to begi with p actical deployme t sce a ios i st uctu ed e vi o me ts such as etail, whe e obots ca suppo t tasks i cludi g shelf estocki g, i ve to y cou ti g, p oduct o ga izatio , a d checkout assista ce. These e vi o me ts p ovide f eque t huma i te actio , epeatable wo kflows, a d ich ope atio al data, maki g them a st o g sta ti g poi t fo developi g scalable Physical AI systems.
Ove time, St idi g AI expects its obotic fou datio systems to suppo t b oade applicatio s ac oss secto s i cludi g etail, food, ag icultu e, logistics, healthca e, a d telecommu icatio s. The compa y’s lo g-te m visio is to build obots that lea f om eal-wo ld expe ie ce, imp ove co ti uously, a d become pa t of eve yday huma e vi o me ts.
Behi d its deployme t st ategy, St idi g AI is developi g a ew ge e atio of obotic fou datio systems that ca tu multimodal pe ceptio i to eal-wo ld obotic actio . By i teg ati g adva ced fou datio models with obotic pe ceptio , co t ol, a d eal-wo ld actio data, the system lea s actio able ep ese tatio s of how actio s affect a d cha ge the physical wo ld th ough i te actio , e abli g obots to t a sfe skills mo e effectively ac oss diffe e t tasks a d e vi o me ts.
These capabilities a e i teg ated i to a closed-loop obotics a chitectu e spa i g pe ceptio , pla i g, executio , feedback, a d ecove y, whe e huma -i -the-loop ei fo ceme t lea i g tu s eal-wo ld ope atio s i to co ti uous t ai i g data.
I ea ly i te al testi g, St idi g AI’s huma -i -the-loop RL method imp oved task success ates by up to 3x. To scale this flywheel, St idi g AI is buildi g i f ast uctu e fo obot p et ai i g, dist ibuted ei fo ceme t lea i g, a d edge-to-cloud o chest atio , c eati g a platfo m desig ed to imp ove as mo e obots ope ate i eal-wo ld e vi o me ts.
St idi g AI sees Physical AI as a full-stack effo t, whe e fou datio models, obotic systems, data, i f ast uctu e, a d deployme t capabilities must adva ce togethe .
The capabilities developed i eal-wo ld e vi o me ts, f om ha dli g dive se objects a d u de sta di g etail shelves to pla i g a d executi g complex tasks, a e pa t of a i teg ated system desig ed fo b oade obotic applicatio s. Th ough this systems-fi st app oach, St idi g AI aims to build obots that lea f om eal-wo ld expe ie ce, imp ove ove time, a d g adually become pa t of eve yday huma e vi o me ts.
Co tact: Jimei Kou, p @st idi g.ai
