Abstract: Large-scale critical infrastructure systems, including energy and transportation networks, comprise millions of individual elements (human, software and hardware) whose actions may be inconsequential in isolation but profoundly important in aggregate. The focus of this project is on the coordination of these elements via ubiquitous sensing, communications, computation, and control, with an emphasis on the electric grid.

Abstract: This grant provides funding for the formulation of a data model, and trajectory planning platform and methodology to execute a fully digital 3D, 5-axis machining capability. Research will be performed on methods for utilizing multiple Graphical Processor Units (GPUs), which are readily available, parallel digital processing hardware in these calculations.

Abstract: Visual identification of structural flaws is quite valuable not only to predict an imminent collapse of a bridge, but also to determine effective precautionary measures and repairs. Statement of objectives:

Abstract: The objective of the project is to demonstrate the synergistic use of a cyber-physical infrastructure consisting of smart-phone devices; cloud computing, wireless communication, and intelligent transportation systems to manage vehicles in the complex urban network – through the use of traffic controls, route advisories and road pricing – to jointly optimize drivers’ mobility and the sustainability goals of reducing energy usage and improving air quality.

Abstract: Telerobotic systems are cyber-physical systems where human operators and robots exchange information using a combination of publicly available communication networks and temporary ad-hoc wireless and satellite networks.

Abstract: This project is to develop dynamical models of distributed computation systems that are resilient to noise, unreliable communication and other source uncertainty. The key idea is centered on the development of optimization systems. These are dynamical systems that (solve) stabilize around the optimal solution of a (static) convex optimization problem. If the optimization problem is separable, then the designed dynamic system decomposes into a set of locally interacting dynamic systems.

This cross-disciplinary project brings together a team of engineering and computer science researchers to create and demonstrate the value of new techniques for ensuring that systems comprised of hardware, software, and humans will perform in a synergistic and safe manner.

Abstract:  No robots at the sub-cm3 scale exist because their development faces a number of open challenges. This project focuses on identifying and determining means for solving these challenges. In addition, it is providing new solutions to outstanding questions about resource-constrained algorithms, architectures, and actuators that can be widely leveraged in other applications.

Abstract: The last decade has seen increasing studies on bacteria and other cells-integrated bio-hybrid microrobot. A major motivation of them is to apply such kind of microsystems into targeted drug delivery system. Although various fabrication techniques have been developed to improve the efficacy of the system, control of the bio- hybrid microrobot is severely understudied, especially at population level. This poses an challenge for further application of the bio-hybrid microrobots, such as targeted drug delivery engineering.

Abstract: Medical devices are typically developed as stand-alone units. Current industrial Verification and Validation (V&V) tech- niques primarily target stand-alone systems. Moreover, the US Food and Drug Administration’s (FDA) regulatory clearance processes are designed to approve such devices that are integrated by a single manufacturer with complete control over all components.