Relying on the "System Control and Information Processing" key laboratory established by the Ministry of Education, and aiming for efficient collaboration in field-level industrial heterogeneous networks, the platform has successfully developed time-sensitive networking (TSN) technology and its core devices that support large-scale data interaction, overcoming key technical bottlenecks. This technology is currently providing crucial technical support for major equipment development, including software-defined satellites and automated testing in large aircraft assembly.

Platform Principal: Professor Chen Cailian, cailianchen@sjtu.edu.cn

Intelligent robots are core equipment in modern intelligent manufacturing, representing the in-depth integration and innovative convergence of disciplines such as mechanical engineering, artificial intelligence, sensing, and control technology. Perception-interaction, autonomous decision-making, and precise execution technologies are the core pillars of intelligent robots, providing intelligent solutions and strategic technical support for fields such as industrial production, civil services, and special operations.

This Research Platform for Intelligent Robot Technology and Applications is positioned to "lead with basic research and drive innovation through interdisciplinary integration." It closely aligns with the national strategy for intelligent manufacturing development and the demand for equipment autonomy, focusing on high-level frontier research in intelligent robot system modeling, planning and control methods, and new scene-adaptation technologies. Its scope includes human-robot collaborative interaction, autonomous navigation and operation of mobile manipulators, and optimization of robot dynamic behaviors.

Relevant research results have been applied in scenarios such as flexible production lines for industrial robots and multi-robot operation systems. The research platform will continue to provide key technical support and application solutions for intelligent robots.

Collaborating Institutions: State Key Laboratory of Mechanical System and Vibration; Yuanzhi Robot Research Institute

Platform Director: Xiong Zhenhua, Tenure-Track Professor
Email: mexiong@sjtu.edu.cn

Building on the National Key Laboratory for Mechanical Systems and Vibration, the platform conduct cutting-edge fundamental research on new theories, methods, and technologies in system dynamics for intelligent equipment in both defense and civilian sectors. This research provides crucial technical support for the development of intelligent equipment, the independent development of defense systems, and technological advancements in spacecraft and manufacturing equipment.

Platform Principal: Professor Zhang Wenming, wenmingz@sjtu.edu.cn

Relying on the National Key Laboratory for Neutron Science and Technology, the center is committed to advancing research on neutron large scientific devices in the fields of new material development and non-destructive characterization technology. The center actively promote the application of neutron technology in aeronautics and astronautics, nuclear power defense, chemical engineering, and fundamental research.

Platform Principal: Professor Zhong Shengyi, shengyi.zhong@sjtu.edu.cn

In response to the national new energy strategy, the center focuses on breakthroughs and industrialization of core hydrogen energy technologies. The research is dedicated to areas such as hydrogen utilization—fuel cells, hydrogen production—electrolysis, and the electrochemical production of clean fuels—ammonia. The center actively promotes the optimization and upgrading of the global energy structure.

Platform Principal: Associate Professor Wei Guanghua, ghwei@sjtu.edu.cn

This laboratory was established in 2021 and focuses on cutting-edge exploration and applied fundamental research aimed at evaluating the lifespan and safety of advanced nuclear power materials, providing support for the safe design and operation of critical equipment. The research team has long been engaged in studying the service performance of key nuclear power materials, including radiation embrittlement of steel used in reactor pressure vessels (RPV) and radiation corrosion of fuel cladding zirconium alloys. They have accumulated extensive experience in multiscale simulations such as first-principles calculations, molecular dynamics, cluster dynamics, phase-field modeling, and finite element analysis, as well as macro and micro experimental techniques including accelerators, in-situ transmission electron microscopy, three-dimensional atom probes, positron annihilation, and nanoindentation. The team currently leads several research projects funded by the National Natural Science Foundation of China and the Shanghai Natural Science Foundation.

Platform Principal: Professor Chen Liang,  Tenure-Track Associate Professor, Email: liang.chen@sjtu.edu.cn

This platform aims to provide design and operational support for major engineering projects such as nuclear energy power. The research directions include scientific computing, optimization, artificial intelligence, data assimilation, model reduction, uncertainty quantification, neutron noise, online monitoring and protection, and fault diagnosis. It has achieved innovative results in the scientific computing theory of nuclear reactor engineering and online monitoring technologies. The platform systematically conducts theoretical modeling, numerical analysis, and specialized software development, offering strong support for the operational safety, economic viability, and intelligence of nuclear power installations from both fundamental theory and engineering application perspectives.

Platform Principal: Professor Gong Helin, Tenure-Track Associate Professor, gonghelin@sjtu.edu.cn