University of Colorado at Boulder
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Abstract:
Optimization algorithms used in a real-time and safety-critical context offer the potential for considerably advancing robotic and autonomous systems by improving their ability to execute complex missions.
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Submitted by srirams on Fri, 12/12/2014 - 2:46pm
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Submitted by ssikdar on Tue, 12/02/2014 - 3:27pm
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Abstract:
Human users are integral to the operation of safety--critical CPS. The goal of this project is to model and analyze the actions of human users along with possible mistakes that may appear in these interactions. We seek to develop approaches that will help us understand the effect of human operator mistakes on the overall system correctness. Our focus is on medical infusion pumps used to deliver drugs to patients.
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Abstract:
Optimization algorithms used in a real-time and safety-critical context offer the potential for considerably advancing robotic and autonomous systems by improving their ability to execute complex missions. However, this promise cannot happen without proper attention to the considerably stronger operational constraints that real time, safety-critical applications must meet, unlike their non-real-time, desktop counterparts.
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Abstract:
The artificial pancreas (AP) is a set of increasingly sophisticated devices and algorithms that will automate the delivery of insulin to patients with type--1 diabetes. While the AP concept promises to alleviate the burden posed by the self-- management of blood glucose levels, it also poses significant risks arising from a combination of external disturbances such as patient meals, physical activity, sensor errors, network delays and physiological variations.
