UBTech Robotics from China has secured a $37 million agreement to deploy humanoid robots at border crossings in China’s Guangxi region, as revealed by a South China Morning Post report. The Fangchenggang humanoid robot center will utilize these robots for various purposes, including traveller guidance, inspections, patrols, and logistics. The company is set to commence deliveries in December as outlined in the SCMP report.
In a public statement on November 25, UBTech announced this significant deal, stating their inclusion in the MSCI China Index along with the lucrative new order. The post also highlighted the success of the Walker humanoid robot series, which has garnered over $153 million in orders projected for 2025. Specifically, the project will feature UBTech’s Walker S2, tasked with conducting inspections at metal manufacturing sites such as steel, copper, and aluminum, as part of the initiative. Since the commencement of shipments this month, the cumulative orders for UBTech’s Walker series have surpassed ¥1.1 billion.
Michael Tam, the Chief Branding Officer of UBTech, expressed the company’s ambition to deliver 500 industrial humanoids this year, with plans to scale up the production tenfold in the following year to reach 10,000 units by 2027. Tam emphasized the company’s commitment to reducing production costs. This business agreement resonates with China’s broader strategy to incorporate embodied AI into practical operations. Various government agencies in provinces are increasingly leveraging humanoids and quadruped robots at airports, immigration points, and in security tasks.
Furthermore, advances in technology are reshaping various industries. For instance, Hangzhou Xiaoshan International Airport now employs a robot to address passenger queries, while Shenzhen Customs has integrated DeepSeek’s language model into an inspection robot for cargo clearance. The integration of cutting-edge technology into everyday operations underscores the significant strides made in AI development and usage in real-world scenarios.
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