Project Features

SOMLab's research projects cover multiple cutting-edge fields including unmanned systems, intelligent connected vehicles, artificial intelligence, and smart energy. We emphasize the integration of theory and practice, dedicated to solving key scientific and technological challenges in national strategic needs.

Laboratory projects feature interdisciplinary integration, industry-academia-research collaboration, and international cutting-edge characteristics, forming a complete innovation chain from basic research to practical applications.

Research

Basic theory and applied research projects
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Reconfigurable Systems

Reconfigurable systems are intelligent systems that embody logic-based adaptive mechanisms.
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Adaptive Networked Control

With the advancement of wireless networks and Internet of Things (IoT), many control systems can be implemented through networked control.
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Self-Organizing Systems

Nature provides us with several examples of collective systems or multi-agent systems that can achieve desired goals through appropriate strategies that promote self-organization.
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Reinforcement Learning/Adaptive Optimization

Many adaptive and learning control problems can be formulated as optimization problems aimed at minimizing objective functions related to system performance.

Data-Driven Control/Unstructured Adaptation

Data-driven control includes several control theories and methods where controllers are designed directly using online or offline input/output (I/O) data of the controlled system or knowledge obtained from data processing.

Machine Learning

Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way humans learn and gradually improve accuracy.

Projects

National and provincial-level research projects

Autonomous Coordination and Game Theory of Intelligent Unmanned Systems

National Natural Science Foundation of China Key Project, Co-Principal Investigator (Co-PI), 2023.01-2027.12

Research on Vehicle Self-Organizing Platooning Based on Cooperative Adaptive Cruise Control

National Natural Science Foundation of China General Project, Principal Investigator (PI), 2021.01-2024.12

Clean Energy-User Cooperative Control and Management Technology for Smart Communities

China Ministry of Science and Technology Key R&D Program, Principal Investigator (PI), 2022.06-2024.05

Research on Intelligent Adaptive Buildings for Learning-Based Energy Management

Research Fund for International Young Scholars (RFIS), Principal Investigator (PI), 2022.01-2023.12

Advanced Methods for Building Diagnosis and Maintenance

European Commission, Co-Principal Investigator (Co-PI), €716,000, 2013.01-2016.12

System-of-Systems Architecture Where Local Action Enables Global Optimization

European Commission, Co-Principal Investigator (Co-PI), €3.2 million, 2013.10-2016.12

Fast-Deployable, Self-Tuning, Self-Reconfigurable, Near-Optimal Control Design for Large-Scale Nonlinear Systems

European Commission, Co-Principal Investigator (Co-PI), €1.85 million, 2010.01-2013.11

Platform

Technology platforms and system development

CommonRoad-MARL

An open-source software focuses on motion planning problem for multi-agent reinforcement learning research.

ADArduPilot

An autopilot that is fully compatible with all the vehicle types the ArduPilot suite was designed for.