
Hangzhou AI competition tests underwater robot autonomy
Teams were required to guide self-developed underwater robots through a full sequence of search, positioning, retrieval and return tasks across the lake’s thousand-acre natural water area.

Teams were required to guide self-developed underwater robots through a full sequence of search, positioning, retrieval and return tasks across the lake’s thousand-acre natural water area.

Galileo’s “Tiejia Tianbao,” or Iron Leopard, team outperformed rivals with its self-developed quadruped robots, excelling in mobility, motion control and all-terrain obstacle crossing.

This year’s competition focuses on industrial, service and special-use applications, with all tasks derived from practical pain points identified by leading companies rather than abstract benchmarks.

This event comes as local governments and companies increasingly shift attention from flashy demonstrations toward practical industrial deployment.

Seen through that lens, GD01 is both a technological statement and a form of attention management — or, in more dramatic terms, a smokescreen.

Moxin said its research led the company to identify what it describes as the “Scaling Law” for spatial intelligence.

In recent years, the Taizhou-based company has been accelerating its transition from a legacy sewing machine maker to a pioneer of advanced manufacturing.

The plan places humanoid robots among Zhejiang’s priority industries as China intensifies efforts to commercialize embodied AI and advanced robotics.

The two companies will work together on robot data collection, embodied AI model training, industrial deployment and core component supply.

The move formalizes the completion of the company’s previously announced angel round rather than a fresh financing deal.