Felix Zhang, founder and CEO of Pudu Robotics, presented the company's global physical AI platform at BEYOND Expo 2026 in Shenzhen on May 28 [1].
The presentation signals the company's intent to transition from a regional manufacturer to a global leader in commercial service robotics. By integrating physical AI into its fleet, Pudu aims to scale its operational capacity and increase its valuation within the competitive robotics sector.
Zhang said at the event that the company aims to promote the globalization of physical AI and the development of a multi-billion-dollar robotics powerhouse based in Shenzhen [2]. The company is focusing on commercial service-robot innovations to expand its international footprint and solidify its position as a primary player in the industry [3].
According to company data, Pudu Robotics currently has 130,000 robots operating worldwide [4]. These machines are deployed across more than 80 countries and regions [4]. This scale allows the company to gather vast amounts of real-world data to refine its AI capabilities, a critical component for the growth of physical AI.
The company's strategy involves leveraging its presence in diverse markets to iterate on robot designs and software. By deploying a massive fleet globally, Pudu can address various commercial needs and operational environments, moving toward its goal of becoming a multi-billion-dollar entity [2].
Zhang said the objective is to build a comprehensive ecosystem where physical AI can be scaled across different industries. The BEYOND Expo provided a venue to showcase these innovations to international investors and partners, emphasizing the company's role in the evolving AI landscape [3].
“Pudu Robotics currently has 130,000 robots operating worldwide”
The scale of Pudu Robotics' deployment suggests a shift in the robotics industry where success is measured by 'fleet learning'—the ability for AI to improve based on data from thousands of active units. By operating in 80 countries, Pudu is positioning itself to set global standards for commercial service robots, potentially challenging established players in the physical AI space through sheer volume of operational data.
