Can a Humanoid Robot Really Walk 100 km? Agibot A2 Just Made It Happen

Outlook Business Desk

Chinese Robot Walk

A Chinese humanoid robot completed a three-day journey covering 100 kilometres, earning a Guinness World Record for achieving the longest documented walking distance ever managed by a machine built to resemble a human.

Agibot robot

Agibot Record Distance

According to Guinness World Records, Agibot completed 106.286 kilometres in Shanghai from 10 to 13 November, securing the title for the longest distance ever walked by a humanoid robot.

Stability Upgrade

Guinness said the robot was refined between April and May 2025 for stability, later proving its endurance during a 24-hour autonomous walk in August despite temperatures approaching 40°C, streamed online.

Suzhou To Shanghai

The humanoid robot began its walk in Suzhou on 10 November, moving through highways and busy city streets for nearly three days before reaching Shanghai’s Bund waterfront area on 13 November.

What Is Agibot?

Agibot A2 is a 5.74-foot humanoid machine weighing around 55 kilograms, designed with AI-powered sensors that help it interpret text, sound and visual cues during autonomous tasks.

Agibot?

Production Model

The robot used for the challenge was a regular commercial unit, identical to those sold to clients, with no special adjustments made for completing the long-distance walking test.

Navigation Features

For the walk, the robot used dual GPS modules along with lidar and infrared depth cameras, helping it adjust to changing light and move smoothly through crowded, unpredictable urban surroundings.

Post-Walk Interaction

Once the journey ended, the robot spoke briefly with reporters, calling the long trek a memorable moment in its machine life and joking that it might now need a fresh pair of shoes.

Technology Significance

The company said the achievement shows stronger hardware, better balance control and improved endurance, all of which are crucial for future commercial roles in guidance, delivery and multilingual interaction tasks.

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