Humanoid robot hardware is advancing quickly. Unitree CEO Wang Xingxing, in his first international interview, explains the possibilities and promises of a revolution.
China’s Unitree Robotics Is Leading the Humanoid Revolution
Type: News Repost
Humanoid robot hardware is advancing quickly. Unitree CEO Wang Xingxing, in his first international interview, explains the possibilities and promises of a revolution.
> Republished by AIC Engineering. All rights belong to the original publisher; see Source below.
Spectators typically leave a UFC fight with ringing ears and a sheepish resolve to get back to the gym. Wang Xingxing went straight to his laboratory. “I thought I could make a bigger robot for boxing competitions,” says Wang, the founder and CEO of Hangzhou-based humanoid-robotics firm Unitree.
“Then I thought, Why not do an even bigger one that can actually carry a human inside?” The upshot of Wang’s creative fervor is the GD01, which Unitree bills as the world’s first mass-produced, transformable mecha robot. Standing 9 ft. tall and weighing half a ton, it can transport a pilot in its torso-mounted cockpit, walk on either two legs or four, and wield fists powerful enough to knock down walls.
Heavy-duty mechanical hinges connect titanium-alloy limbs to a protective casing of carbon fiber, enabling smooth, deliberate strides on brutish red legs.
Wang showed off the GD01 exclusively to TIME as part of his first international media interview, revealing that beyond mixed martial arts, he took a dash of inspiration from James Cameron “We actually drew some references from a similar robot featured in Avatar.” Wang has done more than arguably anyone else to bring this science fiction closer to reality.
A native of China’s coastal city of Ningbo, he founded Unitree in 2016 when he was just 26 years old and has moved from robot dogs to humanoid robots and now, with GD01, human mobility machines. But while the GD01 might inspire awe, humbler humanoids like Unitree’s flagship G1 are the ones set to become the workhorses of a global robotics transformation already gathering pace in China, the U.S., and beyond.
This is the next great tech frontier, one that has previously been the purview of Star Wars and Blade Runner AI that walks, sees, hears and physically interacts with the real world. Morgan Stanley predicts that as many as 13 million humanoids could walk among us by 2035—equivalent to the population of Bolivia. That number is forecast to rise to 1 billion by 2050, when the industry could be worth 5trillion.Unitreeishardlyalonestakingaclaiminthisspace.</p><p>InJanuary,TeslaannouncedthethirdgenerationofitsOptimushumanoidrobotwithagoaltoeventuallyproduce10millionunitsperyearatfactoriesinFremontandTexas.InlateJune,California−basedFiguredispatcheditslatest03humanoidtoBMW’sSpartanburgplantinSouthCarolina,whereitsearlier02modelhelpedassemble30,000carslastyear.</p><p>Oregon−basedAgility,meanwhile,hassecureddeploymentseverywherefromToyotatoLatinAmericane−commercegiantMercadoLibre.ButUnitreeistheworldleaderintermsofvolume,dispatchingmorethan5,500unitsin2025,comprisingoveraquarterofaglobalmarketthatisonlyjustwaking.InJune,Nvidiaannouncedthatitsbleeding−edgeJetsonThorchipwouldbefittedintoUnitree’sH2humanoidforsaletoresearchinstitutionsaroundtheglobe.</p><p>Wecouldbe,Wangsays,anythingfromtwoto10yearsawayfroma“ChatGPTmoment”forhumanoids,wherebyarobotachievessufficient“generalization”tobeabletoexecute80<p>Nonunionrobots(theonlykind)couldoperatearoundtheclockonassemblylines,replacesomenursesinhospitals,andpickfruitunderthehotsun.Thepositiveoutlookisthatwide−scalehumanoidadoptionwillheraldanunprecedentederaofglobalabundance,automatingmundaneanddangerouslaborwhileusheringinpost−scarcitysocieties.Thereisalessrosydivination,however.Amidamasslabordisplacement,robotsconcentrateevenmorewealthintofewerhumanhands.</p><p>Withproductionseveredfromwages,peoplecouldfaceanidentitycrisisasrobotsbegintodominatemanuallaborandserviceindustries,whilegovernmentscontendwithstrainedsocialsafetynetsandrisingcompetitionbetweentheU.S.andChina—leadersinhumanoidsastheyareinAI—overrawmaterialandtechnology.OnJune3,threeU.S.lawmakersintroducedthebipartisanGuardAct,whichseekstobanChineserobotsdeemedtobeanational−securitythreat.</p><p>UnitreewassingledoutbyJohnMoolenaar,abillco−sponsorandchairmanoftheHouseSelectCommitteeonChina,whoaccusedWang’sfirmofbenefitingfrom“generousstatesubsidies”andthreateningtobankruptAmericancompetitors.WithAI,we’vealreadyseenhowtheabilityoflargelanguagemodels(LLM)toparsehugereamsofdataalsomakesthemsusceptibletohallucinationsandunintendedconsequences,likedesigningbiologicalweapons.</p><p>ButwhileanLLMcansuggestharm,arobotcanenactit,auguringaterrifyingnewcybersecurityperilintheageofembodiedAI.Onlinescamsalreadysiphonoffstaggeringsums,butahackedhumanoidcouldmovethethreatfromscreensintohomes,streets,nurseries,andfactoryfloors.</p><p>Thetensionbetweenthesevisionscanbereducedtoachoiceofmyth:AreWangandhisGD01,andindeedtheircompetitors,akintoLukeSkywalkerandthefaithful,guilelessC−3PO—ormorelikeFrankensteinandhismonster?Wang,unsurprisingly,veerstowardthepositive,predictingthatin10yearseveryhouseholdmayhaveasmallrobotthatcandoyourlaundry,grillyoursteak,andevenprovidebasiccareifyoufallill.</p><p>Theycanalsotakeontasksmosthumanswouldratheravoid,fromsteepmountainfarmingtosewermaintenance.Butifthatsoundslikeafuturearrivingfasterthansocietycanabsorbit,Wanginsiststhetransitionwillbegradual.“Itwillevolvestep−by−step,”hesays.“Ifsocietyfindsthatrobotsdon’tperformwellinacertainsector,orifpeoplesimplydon’tlikethemthere,wecaneasilypivotandre−directtheirapplicationtootherfields.</p><p>So,everythingremainswellwithincontrollableboundaries.”WangisanunlikelyprophetoftheAIage.Slightandbespectacled,hepossessesnoneoftheperformativebravadoassociatedwithmanytechnologyfounders.Instead,hespeaksaboutroboticswithquiet,unwaveringconviction.</p><p>Thepossibilitiesandpromisesofahumanoidrevolutionhaveoccupiedhimsincehewas10yearsoldandfirstwatchedearlytelevisedroboticsexperimentsperformedatMITbyMarcRaibert,founderofBostonDynamics.Hespenthisfreetimebuildingmodelaircraft,conductingexperiments,and,beforelong,assemblingminiatureturbojetengines.In2009,WangenrolledatZhejiangSci−TechUniversityinHangzhou,majoringinmechatronicsengineering.</p><p>Asafirst−yearstudent,hesays,hebuilthisfirstsmallbipedalrobot,capableofwalkingafewsteps,onlessthan30. That same price-conscious approach would underpin Unitree’s flourishing. While pursuing a master’s degree at Shanghai University, he developed a prototype quadruped robot, XDog, which still occupies pride of place in the Unitree headquarters.
Departing from the hydraulic-powered designs popularized by his idols at Boston Dynamics, Wang opted for a cost-saving electric-motor model, which helped XDog win second prize in a national entrepreneurship competition. After graduation and a stint at Shenzhen-based drone trailblazer DJI, Wang launched Unitree with 2 million RMB (300,000)incapitalfromanangelinvestor.</p><p>Ithassincebecomeaculturalphenomenon;anestimated600millionpeoplewatchedvideosofUnitree’sH2andG1humanoidrobotsswingingnunchucksandexecutingflipsaspartofFebruary’sSpringFestivalGala—China’sequivalenttotheSuperBowlhalftimeshow.ItwasthesecondyearthatUnitreehumanoidsprovidedtheheadlineact,andalleyesareonwhatWanghasplannednexttime.“Ihavenoidea,”heconfesseswithalaugh.</p><p>InMarch,UnitreefiledforanIPOthatwouldvaluethefirmat6 billion, sparking a buying frenzy in mainland Chinese markets for companies that would benefit along with it, such as upstream suppliers. But high expectations are both a blessing and a curse.
While Unitree’s first-quarter revenue surged over 68% year-on-year to 62 million, adjustednetprofithalvedoverthesameperiodtojust6 million, which the company blamed on a significant spike in R&D and sales costs. Wang talks about “a flip side” to viral internet fame. “Because the hype gets so intense, it places a fair amount of pressure on our company and the industry as a whole,” he says.
“Everyone starts expecting your technology to leap forward at a breakneck pace.
But the truth is, deep tech breakthroughs require a certain amount of time.” Unitree’s blossoming came just as the Chinese government began leaning into AI and robotics, which President Xi Jinping has highlighted as key examples of the “new growth drivers.” China’s Ministry of Industry and Information Technology in turn declared humanoids a “disruptive innovation” on the same level as smartphones and EVs—breakthroughs destined to transform human production and lifestyle, making leadership a matter of economic and national security.
It’s a policy push backed by hard cash; since late 2024, Chinese cities have put together investment funds worth over 26 billion, accordingto Morgan Stanley. Unitreehasn’tdisclosedtheexactlevelofstatesupportitreceives, thoughasoneof Hangzhou’s“Six Little Dragons”—elitelocalstartups—itbenefitsfromthecity’s14 billion Sci-Tech Fund. “China is an ass kicker, next level,” Elon Musk told a Tesla earnings call in January.
“To the best of our knowledge, we don’t see any significant [humanoid robot] competitors outside of China.” Wang’s role leading that charge was evident when he appeared as the youngest member of a high-profile business symposium hosted by Xi last spring.
More than 140 Chinese companies now make humanoid robots, yet the perception inside China is that Unitree is not just another robotics startup, but a hardware platform destined to replicate what BYD achieved for EVs and DJI did for drones. Wang’s strategy is simple but hard to beat: first, control the most difficult core components; leverage scale to relentlessly drive down costs; and use each product generation to unlock new markets.
Unitree has slashed the pretax price of its flagship G1 humanoid from 13,500 in just 18 months. (Still, with components that cost under 9,000, accordingtorecentestimatesby Semi Analysis, thatgives Unitreeahandy335,000, and over six years the price of their “robot dogs” has dropped from 45,000 tounder2,000.
Wang insists Unitree wins through manufacturing cost efficiency—for example, it produces its own actuators, the “muscles” responsible for movement, which account for 50% to 70% of a humanoid’s cost. While the G1 might not boast the peak performance of some Western competitors in terms of load bearing and durability, it has crossed the “good enough” threshold for real-world deployment.
With the ability to carry 5-kg payloads for 10 to 15 minutes continuously without overheating, it is moving out of R&D labs and into pilot deployments for warehouse logistics and material handling. That said, to date only a fraction of humanoids sold are employed in actual useful work. The reason is very simple: today’s robots operate at about 30% to 50% of human efficiency for general factory and warehouse tasks, such as stacking and carrying boxes.
Only 9% of Unitree’s sales go directly into industrial applications, with 17% for commercial venues such as tourist sites, exhibitions, and retail stores. That leaves 74% of Unitree’s humanoid sales to universities, research institutions, and individual developers looking to hone their own AI and motion-control capabilities. And the company is far from alone. The entire modern humanoid industry is essentially selling robots to people trying to build better robots.
“Humanoid robots are just not ready for the mass market,” says Grace Shao, who publishes the AI Proem newsletter.
Wang is unconcerned, however, and compares this trend to the early days of the personal computer, when they were primarily purchased by those in the business: “As the software becomes increasingly mature, with more developers joining each year, the proportion of genuine industrial deployments is growing at an incredibly fast pace.” For now, Unitree is still wrestling with the same white whale as its legion of competitors: the generalization gap, which Wang calls “the biggest headache for the entire global scientific community.” While today’s back-flipping machines are engineering marvels, they remain stubbornly task-specific.
If you want a robot to pick up a pen and move it across a desk, you must program every granular motion. But to make AI truly useful in the physical world, robots must transition from executing rigid scripts to understanding novel commands—like being told to simply “go to the grocery store.” Achieving this milestone will require overcoming two self-reinforcing problems: the scarcity of 3D data and the diversity of deployment environments.
Unlike LLMs like ChatGPT, which can parse the virtually boundless internet, robots need manipulation data collected in the real physical world, which is costly and difficult to scale. It must typically be collected manually by repetitively training machines how to perform certain tasks, such as folding shirts, stocking refrigerators, or shaking a mai tai.
Plus, explains Jiang Zheyuan, CEO of Beijing-based humanoid firm Noetix, “even if a well-performing manipulation strategy is trained for a specific task, the success rate often drops sharply when the environment changes slightly—for example, object displacement, different lighting, or different tabletop materials.” Thanks to firms like Unitree, the hardware for humanoids is advancing quickly.
The real battleground is over the robot brains, or vision-language-action (VLA) models, which are designed to turn human inputs into embodied AI performing intuitively and accurately. The VLA space alone will be worth $40.50 billion by 2035, predicts Kaiso Research, a market intelligence firm, and many of tech’s biggest players are aggressively pursuing their own models, including Nvidia’s GR00T N1.7, Google DeepMind’s RT-2-X, and Alibaba’s Qwen Robot Suite.
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