Project Overviews

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Visible to the public Cyber-Enabled Efficient Energy Management of Structures (CEEMS)

This project focuses on modern buildings as a natural expression of a cyber-physical system, with many features that are typical to such systems. This project focuses on modern buildings as a natural expression of a cyber-physical system, with many features that are typical to such systems. Modern buildings exhibit a tight integration of sensing, computation, and actuation within multiple physical domains.
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Visible to the public A Framework for Enabling Energy-Aware Smart Facilities

The goal of this research is to identify ways to inexpensively provide detailed information about energy consumption in buildings and facilitate conservation. By relying on aggregate data, homeowners and facility managers are blind to the contribution of individual appliances and activities to the overall numbers. And while there is adequate evidence that providing real-time, appliance-specific data allows users to achieve significant energy savings, the available solutions in the market are either inadequately granular or prohibitively expensive.

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Visible to the public Embedded Fault Detection for Low-Cost, Safety-Critical Systems

This research addresses the basic challenge of bringing high levels of reliability and integrity to other domains-domains that can afford neither the cost nor the extra power, weight, and size associated with physical redundancy. The main research focus is on the development of algorithms and computing architectures which enable the detection of fauls without relying on physical redundancy.

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Visible to the public CPS: Small: A Unified Distributed Spatiotemporal Signal Processing Framework for Structural Health Monitoring

There is an urgent need to build structural health monitoring (SHM) systems that can automatically detect, identify, localize, prognose and mitigate anomalies and damages in a structure at an early stage such that catastrophic failures can be avoided.
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Visible to the public CPS: Small: Sensor Network Information Flow Dynamics

The objective of this research is to develop numerical techniques for solving Partial Differential Equations (PDE) that govern information flow in dense wireless networks.

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Visible to the public CPS: Small: Dynamically Managing the Real-Time Fabric of a Wireless Sensor-Actuator Network

This project studies the implementation of feedback control algorithms over wireless sensor-actuator networks (WSANs), particularly with regard to the management of large-scale networked systems such as the electric power grid or water distribution networks.

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Visible to the public CPS:Medium: Tightly Integrated Perception and Planning in Intelligent Robotics

The objective of this research is to develop truly intelligent, automated driving through a new paradigm that tightly integrates probabilistic perception and deterministic planning in a formal, verifiable framework.

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Visible to the public Learning for Control of Synthetic and Cyborg Insects in Uncertain Dynamic Environments

The objective of this research is to enable operation of synthetic and cyborg insects in complicated environments, such as outdoors or in a collapsed building. As the mobile platforms and environment have significant uncertainty, learning and adaptation capabilities are critical. Success in this research project will bring society closer to solving the grand challenge of teams of mobile, disposable, search and rescue robots which can robustly locomote through uncertain and novel environments, finding survivors in disaster situations, while removing r
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Visible to the public Image Guided Autonomous Optical Manipulation of Cell Groups

The objective of this research is to create computational foundation, methods, and tools for efficient and autonomous optical micromanipulation using microsphere ensembles as grippers. This research is expected to lead to a new way of autonomously manipulating difficult-to-trap or sensitive objects using microspheres ensembles as reconfigurable grippers.
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Visible to the public CPS: Small: Generation of Natural Movement for a Multiple Degrees-of-Freedom Robot Driven by Stochastic Cellular Actuators

The objective of this research is to understand mechanisms for generating natural movements of skeletal mechanisms driven by stochastically-controlled, biologically-inspired actuators. The approach is to verify the hypothesis that the variability associated with high redundancy and the stochastic nature of the actuation is key to generating natural movements.