Award Data

Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...

Recent advancements in sensor simulation tools [2] have improved our ability to model radar, lidar, camera, and GPS with software/hardware in the loop. Of course, our ability to model the physics of heavy trucks [3] is quite mature as well. To address the challenge of developing the STE, we will provide our autonomy algorithms as Government Furnished Equipment (GFE). The focus of this topic ...

Human-autonomous system interaction is frequently limited by lack of confidence and trust among the (combined) team. In order to have humans collaborate effectively with autonomous systems, improved interfaces and interaction techniques, and frameworks of interaction must be developed that allow for a common perception of the goals, constraints, resources, and other variables relevant to the team ...

Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

Objectives and Intellectual Merit: The infrastructure of modern civilization is a set of complex systems1 that dynamically interact across multiple layers of abstraction. Researchers from many disciplines2 are designing analytical tools for predicting the global and local behaviors of these complicated, multi-layer networks. Easily usable, available (open source) and inter-operated tools are neede ...

In prior research and development, the team developed WuzzitTrouble, an iPhone and iPad gaming app where players solve problems using number sense mathematical strategies. This project will develop and test a prototype of an adaptive engine for this game, intended to tailor gameplay to the skill levels of individual students and to provide support (or scaffold learning) for students with weaker sk ...

Project Summary. Industrial Microbes is developing a green fermentation platform to replace carbon-emitting petrochemical processes with new methods that build chemicals out of carbon dioxide and methane. By using these raw materials and a new process, the company will be able to produce valuable chemicals for half the current production cost. This advantage means that Industrial Microbes’ techn ...

Video Demonstration of the Phase I Prototype: http://youtu.be/vS0XzzPl3iU Purpose: This project will develop and test Happy Atoms, a physical modeling set and an interactive iPad app for use in high school chemistry classrooms. Happy Atoms is designed to facilitate student learning of atomic modeling, a difficult topic for chemistry high school students to master. Standard instructional practice ...

Combustion Research and Flow Technology, Inc. (CRAFT Tech) and the University of Illinois at Urbana-Champaign (UIUC) have teamed up to provide DTRA with an innovative approach to develop new combined effects explosives (CEX) formulations. CEX represent a class of recently-developed aluminized explosives seeking to provide the performance of both (i) high-energy explosives and (ii) high-blast explo ...