Founded in 2013, Autonomous Cooperative Control of Emergent Systems of Systems (ACCESS) Laboratory aims to address fundamental problems in modeling, analysis,
control and improvement of complex systems. Our approach at ACCESS lab is to systematically develop tools and techniques for analysis and synthesis of complex systems. We formulate such a complex systems as
“Systems of Systems”, which are composed of a collection of (many) task-oriented components that together to create a new and more complex system which offers more functionality
and performance through sharing the resources and capabilities. Relevant Research problems include “Cyber-physical systems”, “Cooperative and distributed control of multi-agent systems”,
“Testing, evaluation, analysis, control, and decision making for large scale complex systems”, “Robotic swarms”, “Reliable and fault tolerant hybrid control systems”,
“Distributed optimization and decision making for coordination of multi-agent systems”, “Human-Machine Interactions”, and “Hybrid modeling and control”.
We particularly focus on the applications of the developed technologies to different domains including “Smart Agriculture”, “Teaming of Autonomous Vehicles”,
“Smart Transportation Systems”, “Smart Grids”, “Space Exploration”, “Security and Reliability of Complex Systems”, “Biological systems”, “Aerial Robotics”,
“Flight Control Systems”.
ACCESS Lab, as an affiliated laboratory to the TECHLAV Center and ACIT Institute, has been involved in different projects supported by Department of Defense (DoD), Office of the Secretary of Defense (OSD), Air Force Research Laboratory (AFRL), Scientific Research Corporation (SRC), General Informatics Inc (GI), as well as North Carolina A&T State University. The lists of active projects, research outcomes, and ACCESS lab's facilities are provided in this webpage. ACCESS lab is looking for collaboration with research laboratories and researchers in the field, government and military agencies as well as industries to develop and commercialize technologies for autonomy related problems.