Nansha Innovation: How UBTech Robotics is Changing Foxconn's iPhone Manufacturing in China

Wednesday, 15 January 2025, 13:00

Nansha innovation leads the way as UBTech Robotics transforms Foxconn's iPhone factories in China. With a focus on industrial robotics, the partnership aims to optimize manufacturing efficiency using humanoid robots. This strategic move marks a significant leap in automation within the industry.
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Nansha Innovation: How UBTech Robotics is Changing Foxconn's iPhone Manufacturing in China

Nansha Innovation in Robotics

Shenzhen-based UBTech Robotics, the largest **humanoid robots** manufacturer in China, has announced a groundbreaking partnership with **Foxconn** to integrate advanced industrial automation in its iPhone factories. This collaboration highlights the potential of humanoid robots in improving production efficiency.

Robotics Deployment in Manufacturing

At a recent **China conference in Nansha**, UBTech's chief brand officer, Michael Tam, stated the company is training robots like the Walker S1 for diverse manufacturing tasks. He emphasized that there are thousands of tasks in car manufacturing, along with new skills needed for **3C production**, which includes electronics and communication devices.

  • **Walker S1** has been in logistics training at **Longhua** factories.
  • Upcoming is Walker S2, demonstrating enhanced capabilities.
  • Focus on improving sorting, moving, and quality inspection tasks.

Automation's Role in China's Economy

This partnership is part of a larger trend in **China** pushing for automation and the integration of humanoid robots across various sectors. Companies like BYD are already utilizing the **Walker S1**, enhancing their production capabilities. The move positions **UBTech** as a leader in the field, aiming for commercial mass production of humanoid robots.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

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