The SSO Lab's research interests include Cyber-Physical System, Digital Twin, Parallel and Distributed Simulation, Event-driven Simulation, Human-Robot Collaboration, Robotic Manufacturing Systems, and Intelligent Operational Control.
If you would like to learn more about the SSO Lab, feel free to contact us! (Prof. Kyu-Tae Park: kt.park@seoultech.ac.kr)
System of systems (SoS) that enhances operational resilience and efficiency based on the interconnection between physical assets and virtual operational technologies.
Advanced virtual asset that represents a configuration, reflects functional units, and synchronizes dynamic information objects derived from physical assets.
Advanced simulation methods, which include event-driven, parallel and distributed, and federated simulations, across the fields of smart manufacturing, supply chain, and logistics.
Simulation and operational control for various types of robotic manufacturing systems that apply mobile manipulators, autonomous mobile robots, and collaborative robots.
Intelligent operational control methods that combine optimization, rule mining, neural neighborhood search, and machine learning techniques for flexible decision-making.
System design and loosely-coupled integration methods for a high-level of interoperability based on standards and asset administration shells (AASs).