Abstract: Our overarching goal is to develop a framework for design automation of cyber‐physical systems that augment human‐in‐the‐loop inference and interaction by complex systems operating at the interface of computation and physical environment.

Abstract: The objective of this research is to develop new principles for creating and comparing models of skilled human activities, and to apply those models to systems for teaching, training and assistance of humans performing these activities. The models investigated will include both hybrid systems and language-based models. The research will focus on modeling surgical manipulations during robotic minimally invasive surgery. Models for expert performance of surgical tasks will be derived from recorded motion and video  data.

Abstract: Control networks are wireless substrates for industrial automation control, such as the WirelessHART and ISA100.11.a, and have fundamental differences over their sensor network counterparts as they also include actuation and the physical dynamics. Consequently, these system are fundamentally constrained by the tight coupling, and closed-loop control and actuation of physical processes.

Abstract: Fault tolerance is vital to ensuring the integrity and availability of safety critical systems. Current solutions are based almost exclusively on physical redundancy at all levels of the design. The use of physical redundancy, however, dramatically increases system size, complexity, weight, and power consumption.

Abstract: Motivation: Reliable and resilient operation of cyber-physical systems (CPS) of societal importance such as Smart Electric Grids is critical. Efficient models and tools to perform timely fault diagnostics and prognostics are needed for curtailing systemic failures such as power blackouts. Varying system state caused by the fluctuating power consumption, dynamic control actions, physical component degradation, and interactions with possible software anomalies make the failure analysis, prediction, and mitigation difficult.

Abstract: Multicore platforms have the potential of revolutionizing the capabilities of embedded cyber-physical systems but lack predictability in execution time due to shared resources. Safety-critical systems require such predictability for certification. This research aims at resolving this multicore "predictability problem.'' It will develop methods that enable to share hardware resources to be allocated and provide predictability, including support for real-time operating systems, middleware, and associated analysis tools.

Abstract: This project focuses on the formal design of semi-autonomous automotive Cyber Physical Systems (CPS). Rather than disconnecting the driver from the vehicle, the goal is to obtain a vehicle where the degree of autonomy is continuously changed in real-time as a function of certified uncertainty ranges in driver behavior and environment reconstruction.

Abstract: Cerebral Palsy (CP) is the most common motor disorder  of  central  origin  in  childhood  and affects at least 2 children per 1000 live births every year. This project will research new methods and tools in motor/cognitive assessment for small children (5‐8 years old) with Cerebral Palsy.

Abstract: Quality control in high-volume manufacturing is commonly performed using Statistics-based quality control techniques. These techniques require large data sets in order to specify acceptable variation limits. These statistics-based QC approaches are not applicable in small-lot high-value manufacturing where it is important to ensure the quality of each one of the final products. Previous model based process control used simplified representations of the actual physics of the process.

Abstract: The purpose of this grant was to develop clothing-like material with embedded sensors and synthetic muscles. When eventually worn by brain-injured individuals over one or more limbs, this clothing may be used to restore their capability for independent mobility. The material, called a “second skin”, is a cyberphysical system designed as a soft robot that cooperates with the biological muscles of the body.