Applications of CPS technologies used in health care.
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Abstract:
Cyber-Physical Systems (CPS) are deployed in a wide variety of safety critical applications from avionics, medical, and automotive domains. For these applications, it is essential to create a precise specification and formally verify that the implementation behaves as specified. The formal verification of these systems presents a wide variety of challenges. Models of these systems must represent the physical world, analog sensors and actuators, computer hardware and software, networks, and feedback control.
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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.
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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.
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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.
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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.
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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.
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Functional electrical stimulation (FES) is a promising technology for activating muscles in spinal cord injured (SCI) patients. The objective of our project is to develop an intuitive user interface and control system that allows high--level tetraplegic patients to regain the use of their own arm.
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Continuous real-time tracking of the eye and field-of-view of an individual is profoundly important to understanding how humans perceive and interact with cyber-physical systems. Such continuous monitoring can enable detection of hazardous behaviors such as drowsiness while driving, mental health issues such as schizophrenia, addictive behavior and substance abuse, neurological disease progression, head injuries, and others.
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This project's objective is to enable assertion--driven development and debugging cyber-- physical systems (CPS). As opposed to traditional uses of assertions in software engineering, CPS demand a tight coupling of the cyber with the physical, including in system validation. This project will use mathematical models of key physical attributes to guide creation of assertions, to identify inconsistent or infeasible assertions, and to localize potential causes for CPS failures.
