Contact & Join
Contact & Join
Contact Information
Address
Room 402, Academic Frontiers Center A
88 Science Avenue, Yangpu District, Shanghai 200092
Email
[email protected]
Recommended email package
Please include a CV, research interests, and representative outputs so the group can assess fit efficiently.
About the Group
The research group is oriented toward the future development needs of intelligent manufacturing and is committed to theoretical research and exploration of key technologies for the deep integration of artificial intelligence and advanced manufacturing systems.
The group conducts research in areas including industrial artificial intelligence, embodied intelligence, intelligent robotics, digital twins, and intelligent manufacturing systems. It focuses on key issues such as intelligent perception, knowledge understanding, autonomous decision-making, and human-machine collaboration in complex industrial environments, and explores new methods and new pathways for the AI-driven intelligent upgrading of manufacturing systems.
The group emphasizes the integration of fundamental theoretical innovation and engineering applications. In response to major national needs in intelligent manufacturing, it carries out research with both scientific value and application prospects, and cultivates interdisciplinary talents with a solid foundation in artificial intelligence theory, engineering practice ability, and innovative research capability.
Research Areas
01 Embodied Intelligence and Intelligent Robotics
Driven by the future development needs of intelligent agents and autonomous machines, this direction focuses on key technologies such as perception, cognition, decision-making, and execution in embodied intelligence systems, and explores robots’ capabilities for autonomous learning and intelligent interaction in complex environments.
Main Research Topics:
Multimodal Perception and Scene Understanding
Autonomous Decision-Making and Task Planning
Robot Skill Learning and Transfer
Intelligent Robotic Systems in Real-world Environments
02 World Models and General Decision-Making
Driven by the development needs of artificial general intelligence, this direction investigates world models that integrate data, knowledge, and physical laws, and explores agents’ capabilities in understanding, predicting, and autonomously making decisions in complex environments.
Main Research Topics:
World Model Construction and Environment Prediction
Multimodal Knowledge Representation and Reasoning
General Task Planning and Decision Intelligence
Autonomous Agents in Complex Environments
03 Scientific Modeling and Intelligent Discovery
Driven by the needs for complex system modeling in scientific research and engineering problems, this direction explores new methods integrating artificial intelligence with scientific computing, and promotes data-driven and knowledge-driven scientific discovery.
Main Research Topics:
AI-driven Scientific Modeling
Physics-informed Learning
Complex System Prediction and Optimization
Intelligent Scientific Discovery
04 Industrial Artificial Intelligence and Real-world Deployment
Driven by the needs of intelligent manufacturing and industrial intelligence, this direction investigates methods for applying artificial intelligence technologies in real industrial systems, and promotes the deep integration of intelligent algorithms, robotic systems, and manufacturing scenarios.
Main Research Topics:
Industrial Intelligence and Smart Manufacturing
Industrial Foundation Models and Knowledge-enhanced Intelligence
Digital Twin and Intelligent Optimization
Engineering Deployment of AI Technologies