After outrunning Usain Bolt, China’s robot champion races towards real-world work

BEIJING – A week after his robot outran humanity’s fastest man, Jack Guo is already chasing a harder goal.

TianGong Ultra stunned spectators at the World Humanoid Robot Games when it covered 100m in 8.64 seconds, almost a full second faster than Jamaican athlete Usain Bolt’s world record. Behind the feat were days of round-the-clock testing and repairing battered robots between races.

“When it started smoothly and got past 50m, that was when I finally relaxed,” said Guo, who leads development of Ultra and Omni, a smaller model used in 400m races, at the Beijing Humanoid Robot Innovation Centre, known as X-Humanoid.

Just a week later, the bespectacled 34-year-old engineer is already focused on a bigger challenge.

“We want to turn high performance into high reliability and high usability,” he told Reuters in his first interview with foreign media.

The record-breaking run offers a rare window into China’s growing lead in humanoid robotics, where state-backed research, deep supply chains and intense competition are accelerating advances in machine mobility.

Yet Guo’s next goal underscores a harder task facing the industry as it struggles to turn dazzling demonstrations into useful workers.

Inside the workshop

X-Humanoid sits in Yizhuang, a high-tech development zone in Beijing’s south-east and one of China’s main robotics clusters. Long home to automakers, the district now boasts a robot sales centre and even a robot-themed restaurant, part of the capital’s push to showcase the industry.

The first-floor showroom traces generations of TianGong robots, including one that still wears the vest from a winning half-marathon run in 2025.

On the ninth floor, white Ultra and Omni humanoids stand suspended in metal frames. One wears a red “Champion TianGong” headband.

During a Reuters visit, engineers repaired and tested robots, with one removing a head cover, another tightening a leg and others running walking trials.

In the adjoining office, Guo’s team develops software before testing it on physical machines.

Established in November 2023, X-Humanoid is backed by state-owned and private investors including robotics firm UBTech, along with domestic tech giants Xiaomi and Baidu. It develops hardware, motion-control software and AI for the wider industry while commercialising its own robots.

X-Humanoid has not disclosed how many of its own robots it has sold or deployed commercially.

Its customers include universities, research institutes and companies exploring industrial applications.

At Foton Cummins’ engine factory in Beijing, the company’s robots have been trialled moving boxes, with its Tianyi 2.0 robot lifting 8kg to 12kg boxes onto shelves in what the factory described as an early-stage exploration.

Useful work begins

Ultra was not originally designed to win a race. It started as an experiment to push the boundaries of humanoid movement.

Guo likens today’s humanoids to the earliest cars: first make them controllable, then pair reliable bodies with smarter AI “brains” capable of handling complex tasks on their own.

He said the immediate challenge was making the robot body and movement-control system stable and reliable for everyday use. Developing the AI needed for more complex autonomous tasks would take longer.

Making a robot run develops generalised mobility, improving its ability to cope with different terrain.

The smaller Omni has already shown what that can mean in practice. In an internal test in 2026, it climbed from the first floor to the 17th floor of X-Humanoid’s headquarters.

Guo expects smaller humanoids to find early roles in commercial services and light industry, while Ultra could eventually perform outdoor inspection or emergency rescue.

One major challenge is braking. Ultra weighs 75kg and at top speed can exceed 17m/s. At the Games, a crash mat sat beyond a short run-off area, leaving sprinting robots in the 100m races to slam into the barrier.

Future versions could be lighter, brake harder and adopt a safer posture, Guo said.

Conquering speed

Ultra arrived at the Games armed with three running strategies trained in simulation. One was battle-tested, two faster on paper but less proven.

Each strategy is a trained motion-control system that continuously adjusts joints and balance, allowing the robot to sprint upright without an operator directing every step.

Ultra used a different programme in each race, running 9.39 seconds in the preliminary, 8.86 seconds in the semi-final and 8.64 seconds in the final.

Between races, engineers returned to their test site to push faster programmes harder and adjust navigation and running controls. Engineers pulled several all-nighters, sometimes testing into the following day before returning to the venue.

Pushed to their limits, robots stumbled, lost balance and crashed, forcing teams to roll out backup machines while repair crews scrambled to fix the damaged ones.

Earlier in development, the breakdowns were even more dramatic. “Legs broke, waists broke,” Guo said.

A late surge

Even on the morning of the final, the team was testing a newly trained running programme. It worked repeatedly during trials, but not on the competition track. Differences between individual robots also created headaches, leaving Guo uneasy before the race.

Ultra’s heavier legs limited early acceleration, but once it passed about 10m/s, it could keep building speed and reel in rivals.

The team had shaved roughly half a second from its starting response by the semi-final, Guo estimated. From there, attention shifted to outright speed.

In the final, a faster reaction time and late acceleration allowed Ultra to pull off a more decisive overtake.

Backstage, the team celebrated. At the closing ceremony, a row of TianGong humanoids donned red capes emblazoned with “Champion”, some waving pom-poms.

“Finally, I could get a good night’s sleep,” Guo said. REUTERS