UBTECH Robotics-Led Joint Project Wins First Prize at Guangdong Provincial Science and Technology Awards, Targeting Collaborative Operations for High-Risk, High-Precision Robots

The 2025 Guangdong Provincial Science and Technology Awards results have been released. A joint research project titled "Key Technology Research and Application of Collaborative Perception and Decision-Making for Robots in Complex Dynamic Environments," which UBTECH ROBOTICS (HKEX: 09880) participated in as a core contributor, has been awarded the First Prize for Scientific and Technological Progress in Guangdong Province.

According to the report, the award-winning project team has been supported by the National Key R&D Program, the National Science Fund for Distinguished Young Scholars, the Key Program of the National Natural Science Foundation of China, and the Guangdong Provincial Key Area R&D Program. Over more than a decade of dedicated research, the team focused on critical scientific and engineering challenges, including the accuracy of collaborative perception, the optimization and interpretability of decision analysis, the efficiency and trustworthiness of collaborative architectures, and the integrated design of software and hardware.

These efforts produced four original core technological achievements: cross-scale, high-precision, full-dimensional semantic perception and localization in complex environments; adaptive, interpretable learning and dynamic optimization decision-making for complex tasks; lightweight, highly trustworthy, and efficient swarm intelligence collaboration; and high-performance, highly reliable integrated software-hardware design and engineering applications.

As the core industrialization entity for the project, UBTECH ROBOTICS was deeply involved in technology development, validation, engineering iteration, and product implementation. Leveraging its humanoid robot platform, the company conducted research and validation of capabilities related to environmental perception, task decision-making, and multi-robot collaboration in industrial scenarios, translating cutting-edge algorithms into stable, reliable, and deployable humanoid robot product solutions.

In the future, the project team will continue to refine collaborative perception and decision-making technologies, conducting testing and iteration in practical scenarios such as nuclear power plant inspections, intelligent warehousing and logistics, and smart manufacturing.