The terms denote engineering domains that have high CPS content.
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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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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.
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This project will develop the first wireless network of cooperative mobile autonomous robots at a very small scale. In order to achieve this goal, we will face technical and scientific challenges that arise from severe power constraints, space and weight limitations.
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The objective of this research is to investigate and implement a software architecture to improve productivity in the development of rapidly deployable, robust, real-time situational awareness and response (R3SAR) applications. The approach is based on a modular cross-layered architecture that combines a data-centric descriptive programming model with an overlay-based communication model.
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The objective of this research is to develop a trustworthy and high-performance neural-machine interface (NMI) that accurately interprets the user’s intended movements in real-time for neural control of artificial legs.
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This project addresses the design of control systems where the principle disturbances are the result of routine human behavior, i.e.
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Americans are living longer and more fulfilling lives. They desire to live as independently as possible, but independent lifestyles come with risks, such as debilitating falls that limit mobility. To address these issues, researchers are developing "smart home" technologies to enhance residents' safety and monitor health conditions using sensors and other devices. In particular, the continuous assessment of physical function is a key indicator of initial decline in health and functional ability.
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This collaborative research project examines the role of software synthesis for monitoring and planning of autonomous sensors evolving on tidally forced rivers. The goal of the sensors is the coordinated sampling of currents and salinity to reconstruct the distributed state of the river. This project integrates the development of theory for the coordination of autonomous agents in motion-constrained environments, and of algorithms to perform motion planning tasks, with software tools for design, analysis, and code synthesis for implementation, as well as inverse modeling (i.e.
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With the proliferation of personal mobile computing via mobile phones and the advent of cheap, small sensors, we propose that a new kind of “citizen infrastructure”, CitiSense, can be made pervasive at low cost and high value.
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The objective of this inter-disciplinary research is to develop new technologies that transform the streets of a city into a hybrid transportation/communication system, called the Intelligent Road (iRoad), where autonomous wireless devices are co-located with traffic signals, forming a wireless network that fuses real-time transportation data from all over the city to support a wide range of new applications.
