The marathon test marks a significant shift from lab-based agility to the real-world endurance required for true embodied intelligence. It proves that the future of humanoid robotics depends as much on sustained reliability as it does on advanced AI.
Deep Dive
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Deep Dive
A visit to humanoid robot marathon contender L7Hinzugefügt:
This is L7, a fierce competitor in the 2026 Beijing E-Town Half Marathon for humanoid robots. Before the race, L7 is putting in the hard miles, training at full intensity, and pushing for peak performance.
>> [music] >> We made several major upgrades for this competition. First, the course is more than 20 km, so battery changes are critical. We built a hot-swap battery system, which means L7 can switch batteries without powering down, saving precious time. Second, we improved cooling in the power modules for long-distance, high-speed running. Our motors can generate up to 400 N-m of torque, so keeping them cool is key to staying fast and stable. We also upgraded autonomous navigation and obstacle avoidance, adding LiDAR sensors and a high-precision positioning system, so L7 can run the course on its own.
Lap after lap, L7 keeps going while engineers track every movement, turn, and data point.
They're testing endurance, balance, >> [music] >> navigation, and speed. Each run helps refine algorithms and push performance a little further.
After a few laps around the stadium, its arms and legs starting to warm up a little bit, but not too much. And it can still stand upright without any trouble.
This is now the second edition of the robot half marathon, and I'm stunned by the progress from last year.
Back then, many robots needed technicians running behind them with remote controls. Some could barely keep a steady pace. But this year, they're so quick that you may need an electric cart to keep up.
And that leap forward comes from breakthroughs in both hardware [music] and AI.
Robot development depends on progress across multiple areas: structural design, motor systems, and algorithms.
Only when all three improve together can we achieve the kind of progress seen this year. For a marathon, robots need stronger bodies, more durable motors, and smarter algorithms to manage speed [music] and control over long distances.
That combination has driven rapid progress in recent years.
As these robotic runners continue running the track, the final results may matter [music] less than what the competition represents.
Because this is more than a competition, but a live stress test of speed, [music] stability, endurance, and control. And what is learned here could soon be used in factories, logistics centers, and daily life. Every step [music] those robots take on the course could mark a giant leap forward for embodied intelligence. Chen Shaode, CGTN, Beijing.
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