Award Data

The implications of the proposed investigations are that radar systems already implemented for the automotive industry can be exploited, adapted and optimized for this application. These radar systems are inexpensive, of small size, employ advanced processing techniques which allow the tracking of threat targets, transmit low average power (10 milliwatts) and are proven to be people safe. We will ...

Teleoperation is the most commonly used method for controlling Small Unmanned Ground Vehicles (SUGV) into areas that are too dangerous or constrained for humans or canines to explore. These SUGVs provide cameras and sensors that provide situational awareness to the operators. However, as the number of SUGVs increases, so do the constraints and operational requirements that they impose on the mis ...

Member of the Family LLC's proposal is designed to study and analyze the effects of contact lens usage, eye surgery and various types of pupil dilation as they relate to the accuracy and performance of iris recognition systems. Additionally we propose to determine whether or not appropriate measures exist or can be created to mitigate the effects of these factors in iris recognition. While others ...

SSC proposes a low power tri-axial acoustic sensor that leverages our existing acoustic chambered design to provide a directional sensor that has high sensitivity, rugged construction with low power consumption. Our approach extends prototypes developed under DoD sponsorship, including DARPA, Army, Navy and Special Forces efforts. Our innovative chambered design provides a large physical apertur ...

For humans and robots to effectively work together, they must share a common understanding of concepts defining the environment and the relationship of those concepts. In this proposal, we present an approach for dynamic interface creation which takes advantage of a robot-centric ontology. We first define a taxonomy based on perceptions and capabilities of the robot, as well as the input and outp ...

Next Century and Rensselaer Polytechnic Institute (RPI) propose to demonstrate a combination of theoretically-guided experimental-design, complex data sets, and embodied cognitive models to study and predict design and data factors that influence human performance in complex visualizations of large network data. We will leverage RPI"s Visual Interaction Architecture (VIA) which features an experim ...

An architecture for linking geographically disparate N-DOF test beds to facilitate real-time distributed operations is proposed. An industry supported middleware solution, OpenDDS, is proposed as a basis for the required simulation software. A survey of existing laboratory conditions is performed. Adaptation to existing laboratory conditions is provided through the abstraction of simulation requ ...

This Phase II project will extend prototypes and algorithms developed in Phase I for software-based modules for multi-modal command and control of robots using the various sensors and camera hardware on modern handheld devices, i.e. smartphones. Phase I work saw the successful development of new gesture and speech-based control interfaces for driving, manipulation, and surveillance. Phase II work ...

In phase 1, we developed an emitter localization technique based on the fusion of Direction of Arrival (DOA) measurements obtained from two flying small UAS and a terrain map. We have designed novel mini UWB antenna to cover VHF/UHF bands. For hardware, we designed a thin, small size , light weight onboard DOA hardware system with very low power consumption equipped with fast signal capture capabi ...

We propose to develop a systematic approach of synthetically generating diverse types of large-scale, dynamic and high fidelity social network data via measurement calibration. Social network research needs access to realistic social media datasets for testing social network theory and developing network algorithms. However, the available social network data are either small, static, or cannot be ...