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.

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.

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

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.

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.

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

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.

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.

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.

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.