Robotic
KAIST’s Humanoid v0.7 Sprints, Moonwalks, and Kicks Its Way Into the Physical AI Era
South Korea’s KAIST has unveiled a striking field demonstration of its Humanoid v0.7 — a fully homegrown robot that sprints at 7.3 mph, performs a smooth moonwalk, and kicks a soccer ball with precision, powered by Physical AI and deep reinforcement learning.
A robot that moonwalks like Michael Jackson, sprints across a soccer field at 7.3 miles per hour, and changes direction mid-stride without losing its footing — South Korea’s KAIST just made the rest of the world’s humanoid robotics labs pay close attention. The university’s latest creation, the Humanoid v0.7, is making headlines this week for a stunning real-world field test that showcases what “Physical AI” can actually look like when it leaves the lab.
Built From the Ground Up — Literally
What makes the KAIST Humanoid v0.7 stand out isn’t just what it can do — it’s how it was built. The entire robot was developed in-house by the Dynamic Robot Control & Design Laboratory (DRCD Lab) under the leadership of Professor Hae-Won Park. That means the motors, gearboxes, and motor drivers were all custom-engineered at KAIST, making the platform almost entirely technically independent from commercial suppliers.
At 165 pounds (75 kg) and standing five-foot-five, the v0.7 is roughly human-sized. But its Quasi-Direct Drive (QDD) architecture — borrowed from the school’s earlier work on legged robots — gives it a key advantage: high torque, low latency, and remarkably smooth force control. That’s the hardware backbone behind every fluid movement you see in the field test.
The Field Test That Went Viral
Footage released this week shows the KAIST v0.7 doing things that would have seemed like science fiction just a few years ago. In the outdoor field test, the robot:
- Sprints across a grass soccer field at speeds up to 7.3 mph (12 km/h)
- Kicks a ball toward the goal with accurate follow-through
- Changes running direction without slowing to a stop
- Performs a smooth, fluid moonwalk — gliding backward in a way that closely resembles the iconic Michael Jackson move
- Climbs steps over 12 inches (30 cm) high
The moonwalk, in particular, has attracted enormous attention online. It isn’t a gimmick. According to the DRCD Lab, it’s a demonstration of whole-body balance and fine motor coordination — exactly the kind of capability that separates current-generation Physical AI robots from their predecessors.
The Secret: Physical AI and Motion Capture Priors
Behind the smooth demonstrations is a sophisticated training pipeline built on deep reinforcement learning (DRL). The team trains the robot’s locomotion and manipulation policies entirely in simulation, then transfers them to hardware — a technique known as “sim-to-real” transfer. The magic ingredient that prevents the robot from moving like a stiff, jerky machine is the use of human motion capture data as a behavioral prior.
In practice, this means the robot’s movements are shaped by recordings of actual human motion. Rather than learning locomotion purely from reward signals, the robot learns to mimic the natural dynamics of human walking, running, and kicking. The result is the fluid, almost organic movement quality visible in the field test — a quality that most DRL-trained robots still struggle to achieve.
This approach is central to what the KAIST team calls Physical AI: giving autonomous machines the ability to perceive, interpret, and act on real-world environments without requiring hand-engineered motion primitives. It’s a philosophy that aligns closely with where industry heavyweights like Boston Dynamics, Figure AI, and NVIDIA’s Isaac platform are all heading.
What Comes Next for v0.7
The current v0.7 platform is already impressive, but the DRCD Lab isn’t stopping here. The team has outlined aggressive near-term targets: pushing top running speed to 14 km/h (about 8.7 mph), adding ladder-climbing capability, and achieving step-climbing over 40 cm — more than double the current spec.
Perhaps most interesting is the lab’s work on a system called DynaFlow, which aims to let the robot learn tasks directly from human demonstrations. The concept is straightforward but powerful: a worker performs a task once, and the robot watches and learns to replicate it. If DynaFlow works at scale, it could dramatically reduce the data and programming overhead required to deploy humanoid robots in new environments.
Why This Matters for the Industry
The KAIST Humanoid v0.7 is significant for reasons beyond its impressive party tricks. It represents a national research lab achieving competitive performance with hardware developed entirely in-house — no Boston Dynamics actuators, no off-the-shelf servo ecosystem. South Korea is making a clear statement that it intends to be a top-tier player in the global humanoid race alongside the United States and China.
More broadly, the v0.7 field test is a data point in a rapidly accelerating trend: Physical AI systems that can operate gracefully in unstructured real-world environments are no longer the exclusive domain of well-funded commercial startups. University labs, with the right talent and the right training infrastructure, are closing the gap fast.
At InteliDroid, we’ll be watching closely as KAIST pushes toward its next performance milestones — and as the rest of the field races to answer back.
Robotic
Robots Take the Oval: Inside Beijing’s 2026 World Humanoid Robot Games
The second World Humanoid Robot Games has drawn more than 2,000 machines from 16 countries to Beijing — and one just clocked a 100-meter time faster than Usain Bolt. Here’s what the spectacle reveals about how far humanoids have really come.
For four days at Beijing’s National Speed Skating Oval, the athletes wobbling toward the finish line aren’t human. The second edition of the World Humanoid Robot Games opened on August 22, 2026, turning the venue that hosted Olympic speed skating into a proving ground for bipedal machines — and the headline moment arrived almost immediately, when a robot ran 100 meters faster than any person ever has.
A Bigger, Faster Second Edition
If the inaugural 2025 games were a curiosity, this year’s event is a statement of scale. Organizers report 666 competing teams fielding 2,056 humanoid robots from 16 countries — a 138% jump in teams and a roughly fourfold increase in robots compared with the first edition. The competition runs August 22 to 26 and spans 26 events, blending head-to-head contests, exhibition showcases, and “scenario” challenges designed to test robots on tasks closer to real-world work than to sport.
The event is jointly organized by the Beijing municipal government and China Media Group, among others, and its stated goal is less about medals than about momentum: accelerating the integration of humanoids into everyday human environments.
The 9.39-Second Sprint That Stole the Show
The moment that rocketed around the world came on the track. Tiangong Ultra, built by the Beijing Humanoid Robot Innovation Center, won its 100-meter heat in 9.39 seconds — quicker than Usain Bolt’s human world record of 9.58 seconds. A separate machine, Honor’s “Lightning,” was reported to have gone even faster, 9.32 seconds, in a preparatory test run.
It’s a genuinely striking milestone for legged locomotion, but it deserves context. These are controlled demonstrations by purpose-built sprinters, not a like-for-like challenge to human athletics — the robots run their own heats under their own conditions. What the time really signals is how quickly balance, actuation, and control systems have matured. A machine keeping itself upright at that velocity is solving a hard dynamics problem in real time, and doing it repeatably enough to race.
Beyond the Track: Tug-of-War, Weightlifting, and Taijiquan
Speed grabs the headlines, but the more telling events are the new ones. This year’s program adds tug-of-war and weightlifting — tests of force, grip, and stability under load — alongside debut demonstrations rooted in Chinese tradition, including Taijiquan (tai chi) and Touhu, an ancient arrow-throwing game. Football returns as well, pushing robots to perceive, plan, and coordinate as a team.
Taken together, the roster reads like a checklist of the capabilities humanoids need on a factory floor or in a warehouse:
- Explosive, stable locomotion — the sprints and jumps.
- Whole-body force control — tug-of-war and weightlifting.
- Fine balance and smooth motion — the deliberate, flowing forms of tai chi.
- Perception and precision — aiming in Touhu, tracking a ball in football.
Spectacle vs. Substance
The games are a showcase, and it’s worth separating the highlight reel from the day-to-day reality. Industry leaders have been candid that humanoids remain less efficient than people at most tasks and still take considerable time to learn new skills — a bottleneck that no stadium record erases. A robot that beats Bolt over 100 meters may still struggle to reliably fold a shirt or navigate a cluttered stockroom.
That tension — dazzling peak performance alongside stubborn practical limits — is exactly what makes the 2026 games useful to watch. Events like the scenario challenges are where the field’s real progress will show, because they reward robots that can generalize rather than specialize.
What It Signals
Beijing’s ballooning entry list is the clearest sign yet that humanoid robotics has moved from a handful of flagship labs to a broad, competitive ecosystem spanning startups, tech giants, and national research centers. The sprint records will age quickly; the more durable story is the sheer density of teams now iterating on the same hard problems in public. At InteliDroid we’ll be tracking which of these competitors turn stadium spectacle into shipping product — because the machines that matter won’t be the fastest on the oval, but the most useful off it.
Humanoid Robots
Unitree Goes Public: China’s First Listed Humanoid Robot Maker Prices Its IPO at a $9 Billion Valuation
Hangzhou’s Unitree Robotics priced its Shanghai STAR Market IPO at a roughly $9 billion valuation — becoming China’s first publicly traded humanoid robot maker, with AI lab DeepSeek joining as a strategic investor and co-development partner.
China just minted its first publicly traded humanoid robot company. On August 6, Hangzhou-based Unitree Robotics priced its Shanghai STAR Market IPO at 150.80 yuan per share, stamping the nine-year-old startup with a valuation of roughly $9 billion and kicking off one of the most closely watched listings of the embodied-AI era. Subscriptions open today, August 10, with the shares expected to begin trading between August 17 and 21.
For an industry that has run largely on venture capital, glossy demo videos, and promises about the future of physical labor, Unitree’s debut is a milestone of a different kind: a humanoid maker being priced by public markets, in real time, on its actual numbers.
A landmark listing for a nascent industry
Unitree is selling 40.45 million new shares — about 10% of its enlarged share capital — to raise roughly 6.1 billion yuan (around $850 million). The final price of 150.80 yuan came in about 45% above the market consensus of 104 yuan, a sign of just how much appetite there is for exposure to humanoid robotics. Investment banks expect a further re-rating once trading begins, with estimates ranging from 40 billion yuan to as high as 109 billion yuan in CCB International’s most optimistic scenario.
The company was founded in 2016 by engineer Wang Xingxing, who built Unitree around quadruped robots before pivoting hard into humanoids. Becoming China’s first listed humanoid robot maker gives Unitree not just a war chest but a public benchmark that rivals — foreign and domestic — will now be measured against.
The DeepSeek alliance: a brain for the body
The listing came with a headline-grabbing strategic partner. AI lab DeepSeek invested 140.8 million yuan (about $20.8 million) through a strategic placement, acquiring 933,399 shares — roughly 2.31% of the offering — under a 36-month lock-up. More important than the check is the accompanying co-development agreement: the two Hangzhou companies will jointly build AI models and embodied-intelligence systems for humanoid robots.
That pairing targets the central bottleneck in the field. Hardware has advanced faster than the software needed to run it, and the hardest problem in humanoid robotics remains the “brain” — a system that can interpret unfamiliar surroundings and translate a plain-language instruction into precise, safe physical action. Marrying DeepSeek’s large-language-model expertise to Unitree’s motion control and mechanical engineering is a bet that China can close that gap with domestic technology on both sides.
Why investors are betting on Unitree
Unlike many humanoid startups, Unitree is already shipping in volume — and making money. According to its prospectus, the company delivered more than 5,500 humanoids in 2025, with annual revenue quadrupling to 1.7 billion yuan and gross margins around 60%. That profitability stands in sharp contrast to some Western peers carrying enormous valuations on comparatively thin revenue.
The strategy is a full product ladder built around price. Unitree’s offerings include:
- Go2 — its agile robot dog, starting around $1,600
- G1 — a developer- and research-focused humanoid at roughly $13,500, widely cited as the cheapest genuinely capable humanoid on the market
- H1 — a full-size humanoid listed near $90,000
- H2 — its newest full-size platform priced around $29,900
By undercutting competitors on hardware and seeding developers with affordable machines, Unitree has positioned itself as the low-cost backbone of an emerging ecosystem — the company others build on top of.
What it signals for the humanoid race
A profitable, publicly listed humanoid champion — paired with a homegrown AI lab — reshapes the competitive map. It hands Unitree fresh capital and a currency for acquisitions and talent, and it gives investors a liquid way to bet on embodied AI for the first time. It also arrives amid tightening scrutiny of where connected robots are built and where their data flows, a backdrop that will shape how far Chinese humanoids travel into Western markets.
For now, the takeaway is simple: the humanoid robotics story is moving from pitch decks to public balance sheets. As the sector matures from demos into deployed, revenue-generating machines, Unitree’s listing may be remembered as the moment the market started pricing the robots that will share our factories, warehouses, and eventually our homes. At InteliDroid, we’ll be watching where the capital — and the machines — go next.
Robotic
BYD Joins the Humanoid Race: Meet “Xiao Di,” the Robot Headed for Its Showrooms
BYD, the world’s largest EV maker, will unveil its first humanoid robot — nicknamed “Xiao Di” — in early August 2026, aiming to place service robots in dealership showrooms worldwide.
The world’s largest electric-vehicle maker is about to add a new item to its lineup: a humanoid robot. BYD has confirmed that its first humanoid will make its public debut in early August 2026, and the company already has a specific job in mind for it — working the floor of its dealership showrooms.
The confirmation came after BYD released a teaser poster in late July hinting at an early-August reveal at its D Space (Di Space) facility in Zhengzhou. It’s the first time BYD has signaled a physical, operable prototype rather than just executive ambition, and it pushes one of the auto industry’s biggest names squarely into the humanoid robotics race.
Meet “Xiao Di,” a Robot Built for the Showroom
Early reports peg the robot’s nickname as “Xiao Di,” positioned as a service humanoid rather than an industrial one. According to specifications that circulated from a since-deleted BYD post — so treat these as unconfirmed until the launch — the robot stands about 1.61 meters tall, weighs roughly 58.5 kilograms, and carries 31 degrees of freedom across its body. The same leak claimed it can translate in real time between six Chinese dialects and six foreign languages.
Whether or not those exact figures hold, the design intent is clear. This is not a robot meant to lift sheet metal on an assembly line. It’s meant to greet people, hold a conversation, and sell cars.
Why a Carmaker Is Building a Greeter
BYD’s robotics ambitions have been telegraphed for months. Executive Vice President Li Ke said last month that the company hopes to deploy humanoids across its dealership network, where they could introduce vehicles to customers and assist with product demonstrations.
“My goal is to place two or three robots in every dealership,” Li said, describing machines that could explain vehicles, “create a more engaging atmosphere, and even demonstrate vehicle features.” He suggested robotic sales assistants could become commercially viable within the next one to two years, and framed home and service robots as a potentially significant growth market for the company.
It’s a shrewd first target. A showroom is a controlled, well-lit, predictable environment — far friendlier to today’s humanoids than a chaotic warehouse or a cluttered home. It also puts the robot directly in front of paying customers, turning a technology demo into a marketing asset for BYD’s core business of selling cars.
BYD Joins a Crowded Field
BYD is far from alone. A wave of Chinese automakers — including Xiaomi, XPENG, Chery, GAC, Changan, FAW, and Dongfeng — have launched humanoid programs, betting that their strengths in perception, control software, and mass manufacturing translate directly into embodied AI. On the global stage, Tesla continues to push its Optimus robot toward production, while startups like Figure AI have already logged nearly a year of real deployments at BMW’s Spartanburg plant.
What makes the automaker entrants worth watching isn’t any single robot. It’s the manufacturing muscle behind them. Companies that already build millions of vehicles a year — mastering supply chains, actuators, batteries, and cost engineering at scale — are precisely the players who could drive humanoid prices down fast if the technology matures. That’s the part of BYD’s announcement that should give pure-play robotics startups pause.
What to Watch at the Reveal
The August unveiling will be the first real test of how far BYD’s ambitions have progressed beyond slideware. The questions worth asking: Can “Xiao Di” actually hold a natural, multilingual conversation on a noisy showroom floor? How much of the demo is autonomous versus scripted? And is BYD building this in-house, or partnering with an established robotics supplier?
For now, BYD hasn’t officially confirmed the specifications, and a physical debut is still just days away. But the direction of travel is unmistakable. When the company that sells the most EVs on the planet decides its next showroom employee should be a robot, it’s a signal that humanoids are moving from research labs toward everyday commercial settings faster than many expected. We’ll be watching Zhengzhou closely — and we’ll report back once “Xiao Di” takes the stage.
-
Robotic2 months agoGermany’s NEURA Robotics Lands $1.4 Billion From Amazon, Nvidia, and Tether — The Largest Humanoid Funding Round Ever
-
Humanoid Robots3 weeks agoUnitree Goes Public: China’s First Listed Humanoid Robot Maker Prices Its IPO at a $9 Billion Valuation
-
Robotic3 months agoNVIDIA Picks Unitree H2 Plus as Its First Research Humanoid Robot Platform
-
Humanoid Robots1 month agoURKL Debuts in Shenzhen: The World’s First Autonomous Humanoid Combat League
-
Robotic4 weeks agoBYD Joins the Humanoid Race: Meet “Xiao Di,” the Robot Headed for Its Showrooms
-
Robotic5 days agoRobots Take the Oval: Inside Beijing’s 2026 World Humanoid Robot Games
