The overarching project goal is to advance the design of opportunistic state-triggered aperiodic controllers for networked cyber-physical systems.  This poster considers the problem of opportunistic human-robot collaboration to solve multi-objective optimization problems. We consider scenarios where a human decision maker works with a robot in a supervisory manner in order to find the best Pareto solution to a given optimization problem.  The human has a time-invariant function that represents the value she gives to the different outcomes.

NeighborVis is a visual analytics system that allows users to study human mobility and opinion data in a community neighborhood. It is developed to answer the simple questions about an urban community: what is happening at this location, is it good or bad, and can outcomes be improved? It may be a police department considering a blighted street, a planning department considering urban renewal and the “greening” of spaces, a community group wanting to add neighborhood gardens, or a hospital mining its child injury data.

Explanation of Demonstration: Cyber-Physical Systems (CPS) are commonly supervisory control systems where a human-on-the-loop (HOL) supervises one or more autonomous systems, and the embedded autonomy allows the operators to intermittently attend to the system while they attend to other tasks. Thus, it is imperative that the design of any security-aware CPS considers the human factor – i.e., the impact of the interaction between humans and the system on security guarantees.

As evidenced by the recent cyberattacks against Ukrainian power grids, attack strategies have advanced and new malware agents will continue to emerge. The current measures to audit the critical cyber assets of the electric power infrastructure do not provide a quantitative guidance that can be used to address security protection improvement. Investing in cybersecurity protection is often limited to compliance enforcement based on reliability standards.

This Cyber-Physical Systems (CPS) project supports research to enable the automated monitoring of building and infrastructure construction projects. The purpose of construction monitoring is to provide developers, contractors, subcontractors, and tradesmen with the information they need to easily and quickly make project control decisions. These decisions have a direct impact on the overall efficiency of a construction project. Given that construction is a $800 billion industry, gains in efficiency could lead to enormous cost savings, benefiting both the U.S. economy and society.

Equipment operation represents one of the most dangerous tasks on a construction sites and accidents related to such operation often result in death and property damage on the construction site and the surrounding area. Such accidents can also cause considerable delays and disruption, and negatively impact the efficiency of operations. This Cyber Physical System (CPS) research project will conduct research to improve the safety and efficiency of cranes by integrating advances in robotics, computer vision, and construction management.

This project addresses the foundational problem of knowledge and limits of knowledge within cyber-physical systems (CPS). A single system observes its environment through sensors and interacts through actuators. Neither is perfect. Thus, the CPS's internal view of the world is blurry and its actions are imprecise. CPS are still analyzed with methods that do not distinguish between truth in the world and an internal view thereof, resulting in a mismatch between the behavior of theoretical models and their real-world counterparts.

Traffic control management strategies have been largely focused on improving vehicular traffic flows on highways and freeways but arterials have not been used properly and pedestrians are mostly ignored. New urban arterial designs encourage modal shifts which gives further impetus to devise novel traffic control strategies to more quickly respond to changing conditions and salient events, while balancing safety and efficiency for all users.