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Humanoid Robots Join Half-Marathon in Beijing First

Humanoid Robots Join Half-Marathon in Beijing First

Humanoid Robots Join Half-Marathon in Beijing First \ Newslooks \ Washington DC \ Mary Sidiqi \ Evening Edition \ In a world-first event, humanoid robots participated in a half-marathon alongside human runners in Beijing. The 13.1-mile race featured 20 robotic teams competing on a parallel track with rules adapted for machines. Sky Project Ultra won among the robots, with awards given for innovation, endurance, and design.

Humanoid Robots Join Half-Marathon in Beijing First
A robot takes part in what is billed as the world’s first robot half marathon during the Humanoid Robot Half-Marathon held in Beijing on Saturday, April 19, 2025. (AP Photo/Ng Han Guan)

Quick Looks

  • Humanoid robots ran a 13.1-mile half-marathon in Beijing
  • Event marked the first of its kind in competitive robotics
  • 20 robot teams participated, supported by engineers and operators
  • Robots ran on a separate but parallel course from humans
  • Custom rules included battery pit stops and support crew involvement
  • Sky Project Ultra robot finished first with a time of 2:40:42
  • Awards also given for endurance, gait design, and innovation
  • Race highlighted advances in bipedal robot agility and stamina
  • Human runners followed standard half-marathon rules and timelines
  • Organizers hailed the event as a breakthrough in human-robot collaboration

Deep Look

In a striking fusion of technology and endurance, Beijing made history by hosting the world’s first humanoid robot half-marathon, allowing advanced bipedal machines to compete in a real-world race alongside human runners. The event was held on Saturday and featured 20 robotic teams racing on a dedicated track parallel to the traditional human half-marathon, marking a major milestone in the development of mobile humanoid systems.

The unprecedented race showcased robots not in labs or exhibitions but on a 21.1-kilometer (13.1-mile) outdoor course, running, wobbling, and calculating their way through a test of balance, endurance, and environmental navigation. Accompanied by engineers, navigators, and support crews, the robots competed under modified race conditions, and some finished with surprisingly competitive times.

This event wasn’t just a spectacle—it was a proof-of-concept: that humanoid robots are rapidly approaching real-world operational readiness in fields that demand mobility, autonomy, and adaptability.

From Sci-Fi to Start Line: The Road to Beijing’s Robotic Race

While robots in factories or delivery services have become familiar sights, humanoid robots—those built with humanlike forms and gait—have long remained confined to research labs due to their complex mechanical demands. Creating a robot that can walk on two legs, navigate uneven terrain, avoid obstacles, and remain balanced under varying conditions remains one of the most daunting challenges in robotics.

The Beijing event, organized by China’s Institute of Artificial Intelligence and Robotics Development, aimed to push those boundaries.

“This is not about machines beating humans. It’s about machines learning to move in a human world,” said Dr. Wei Liang, one of the race organizers and head of biomechanics at the Chinese Academy of Engineering Sciences.

Race Day: Two Courses, Two Species, One Event

On race day, the human half-marathon followed a conventional city course through Beijing’s cultural districts, while the robot half-marathon took place on a segregated, side-by-side track, constructed with smooth surfaces and programmed waypoints to simulate a dynamic real-world path without posing safety risks.

A divider separated human and robot racers, not just for safety but to allow different pacing and support structures. Humans ran freely, while robots moved with external oversight, occasionally stopping at “battery pit stops” for quick hardware swaps or resets—akin to Formula 1’s tire changes, but for lithium-ion cells.

Despite these differences, the robots were required to walk or run on two legs only—no wheels, tracks, or crawling mechanics allowed. The challenge was not only physical but algorithmic. Each robot had to constantly adapt to vibrations, slope changes, wind resistance, and minor course obstructions.

The Winner: Sky Project Ultra (Tien Kung Ultra)

The standout of the event was Sky Project Ultra, also known by its Chinese name Tien Kung Ultra, representing the Tien Kung Team. This humanoid robot completed the course in 2 hours, 40 minutes, and 42 seconds, drawing applause from the crowd and accolades from judges.

Sky Project Ultra was built with lightweight composite materials, gyroscopic stabilization, and a proprietary AI motion algorithm that mimicked the cadence of elite marathon runners. Its gait was smooth, efficient, and noticeably more “natural” than some of the more mechanical shufflers in the field.

“We spent months training it on motion capture data from human athletes,” said lead engineer Zhao Ming. “It doesn’t just move—it learns from each step.”

More Than Speed: Innovation Awards Celebrated Robotic Diversity

While Sky Project Ultra took first in time, other awards were given in categories that reflect the broader goals of the competition:

  • Best Endurance: Awarded to a robot that completed the course with the fewest mechanical interventions
  • Best Gait Design: Recognized the most energy-efficient and biomechanically sound walking motion
  • Most Innovative Form: Given to the team whose robot had the most creative structural design and adaptability

One robot, dubbed “Lotus Walker”, impressed judges by maintaining perfect vertical posture throughout the race, making it a candidate for future roles in elder care and hospital assistance, where reliable upright motion is essential.

Another competitor, “MIRAI-X”, wowed the crowd with an adaptive foot structure that could subtly change pressure points based on surface texture—technology inspired by human plantar reflexes.

Behind the Bots: Teams of Engineers and AI Operators

Each robot had a dedicated team of software engineers, mechanical specialists, and AI system monitors. While the robots moved autonomously in terms of gait and pathfinding, the teams were allowed to intervene for safety or battery replacement, in compliance with event rules.

One major challenge was power management. Most robots could only run for 30–45 minutes on a single charge at a moderate pace. The event featured “battery swap bays” along the route, where exhausted robots were paused briefly to receive a fresh power pack and continue.

“It’s like a pit stop in motorsports,” said Liu Zhen, an operator for one of the mid-tier finishers. “We trained not just the robot but the swap crew. Every second counts.”

Beyond the Finish Line: Why This Event Matters

The implications of this half-marathon go well beyond the race itself. As humanoid robots develop longer battery life, more accurate proprioception (body-awareness), and refined gait control, they could soon be viable for field use in real-world environments.

Potential applications include:

  • Search and rescue operations in disaster zones
  • Healthcare and eldercare support, including walking assistance and mobile monitoring
  • Construction and logistics, where uneven surfaces challenge wheeled robots
  • Education and tourism, allowing for lifelike guides in museums and landmarks

Unlike wheeled or drone-based systems, humanoid robots can navigate spaces designed for humans—staircases, doorways, corridors—making them ideal for integrating into existing architecture and workflows.

The Road Ahead: What’s Next for Robotic Racing?

Organizers of the Beijing half-marathon say this was only the beginning. Plans are underway for a full marathon event next year, and possibly even an international humanoid robot decathlon, combining various movement-based challenges such as stair climbing, jumping, and sprinting.

Japan, South Korea, and Germany have already expressed interest in sending teams to future iterations of the race, transforming this into a potential Olympics for Robotics.

“The fusion of AI and athletics is no longer speculative—it’s happening,” said Dr. Liang. “This race proves that mobility is the next frontier for artificial intelligence.”

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