πŸ“… Wednesday, 4 November 2026 Issue No. 105

Kids Gazette

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Tech

Robot Dogs Race Up 3,100 Steps on Mount Taishan

Nearly 90 robotics teams tested their mechanical dogs and humanoids on a steep 3,100-step mountain trail, and the winner ran faster than a human!

Robot Dogs Race Up 3,100 Steps on Mount Taishan
Illustration: Kids Gazette

Imagine hiking up thousands of steep stone steps on a tall mountain. Now picture doing that alongside nimble mechanical animals! On 2 November 2026, an extraordinary robot dog race took place at Mount Taishan in Shandong Province, China. Nearly 90 robotics teams from universities, research institutes, and technology companies gathered to take part in the inaugural CMG World Robot Mount Taishan Climbing Competition.

The goal was simple yet daring: climb an ancient trail stretching 3.9 kilometres from Hongmen, also known as the Red Gate, all the way to Zhongtianmen, the Middle Gate of Heaven. With more than 3,100 steep, uneven stone steps and an elevation gain of around 600 metres, this challenging path provided a huge test for both four-legged and two-legged machines.

What happened?

Normally, a fit and active human takes between 1.5 and 2 hours to hike this demanding uphill route. However, the quickest machine on the mountain conquered the stone staircase in less than an hour! A four-legged robot built by Beijing Lingyi Technology, a subsidiary of Unitree Robotics, won the speed category by finishing the climb in an astonishing 43 minutes and 41 seconds.

The event was not just about sprinting. Judges also tested how carefully the robotic helpers could carry supplies. In the cargo delivery challenge, the robotic dogs had to keep their balance while transporting fragile items, including raw eggs, water bottles, and packets of instant noodles without dropping or breaking them.

To navigate the tricky ground safely, engineers equipped the four-legged robots with LiDAR sensors and intelligent software. These tools allowed the machines to scan cobblestones, distinguish uneven steps, and generate three-dimensional navigational maps in real time. The event also showcased two-legged humanoid robots attempting the steep stairs, alongside wearable robotic exoskeletons designed to assist human hikers on long walks.

Why does it matter to you?

You might wonder why scientists are making metal dogs sprint up mountain trails instead of keeping them inside laboratories. In diverse countries like India, with high mountain ranges and rugged hills, nature can often be difficult and risky to explore during heavy rains or landslides.

By testing machines on real, centuries-old stone pathways rather than flat laboratory floors, developers are preparing robots for important future work. One day, these agile four-legged machines could assist in dangerous search and rescue missions, or help deliver food and medicines to hard-to-reach hilltop homes.

Words to know

  • LiDAR: a special sensor that uses beams of light to measure distances and create detailed 3D maps.
  • Humanoid: a robot built with a body shape similar to a human, walking upright on two legs.
  • Exoskeleton: a wearable robotic frame that fits onto a person to support movement and reduce tiredness.
  • Elevation: the height of a place above sea level or the vertical distance gained when climbing upwards.

Did you know?

The ancient stone steps of Mount Taishan have been walked upon by travellers for centuries, making this historic site one of the toughest real-world outdoor testing grounds ever chosen for modern robotics!

Think about it

If you were designing a four-legged helper robot to explore rocky hills, what useful features or tools would you add to its backpack?

Quick quiz

Which machine won the speed category by completing the mountain climb in 43 minutes and 41 seconds?

  1. A four-legged robot built by Beijing Lingyi Technology
  2. A two-legged humanoid robot from a university
  3. A hiker wearing a robotic exoskeleton
See the answer

A four-legged robot built by Beijing Lingyi Technology

Sources

This story was prepared by the Kids Gazette news desk with the help of AI research and writing tools, using the sources listed above.

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