A presentation on Foundations of Cyberphysical Systems by P.R. Kumar (University of Illinois, Urbana-Champaign) at the National CPS PI Meeting 2010

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 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.

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.

This project aims to develop a new computing device where non-volatile elements based on flash (floating gate) transistors are pervasively used in all levels of the memory hierarchy to enable almost instantaneous check pointing and recovery of program state not subject to the data bus bandwidth limit. Effectively, this new system allows its power source to be cut off at any time, and yet resumes regular operation without loss of information when the power comes back.

This research aims to introduce methods to analyze the robustness of battery supported cyber physical systems under co-designed control, scheduling, and battery management algorithms. Robustness refers to the ability to maintain system performance under perturbations. Robustness in controller design has been well defined and understood for a large class of feedback control systems, yet robustness of scheduling and battery management algorithms is relatively less understood.

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.