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.
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.
This project addresses the management of the air traffic system, a cyber-physical system where the need for a tight connection between the computational algorithms and the physical system is critical to safe, reliable and efficient performance. Indeed, the lack of this tight connection is one of the reasons current systems are overwhelmed by the ever increasing traffic and suffer when there is any deviation from the expected (e.g., changing weather).
This CPS research focuses on collaborative driving, specifically in convoy type applications, and testing of hybrid systems. Specfically, this research investigates the development of the computational issues and testing aspects of a newer, more tactical hybrid state autonomous controller for multi-robot exploration scenarios for DSTO Multi Autonomous Ground-robotic International Challenge (MAGIC 2010) and the evaluation of th eautomotive convoy-based scenarios of the Grand Cooperative Driving Challenge (May 2011).
