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AAMs with Occlusion - We are developing algorithms to construct AAMs from occluded training images and to
efficiently fit AAMs to faces containing occlusion.
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Accurate Camera Calibration from Planar Patterns - A novel camera calibration method can increases not only an accuracy of intrinsic camera parameters but also an accuracy of stereo camera calibration by utilizing a single framework for square, circle, and ring planar calibration patterns.
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Agent Storm - Agent Storm is a scenario where agents autonomously coordinate their team-oriented roles and actions while executing a mission.
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Agent-based Composition of Behavioral Models - This project focuses on accurately modeling human physical behaviors; these models are used 1) to create computer generated forces (CGFs) that exhibit human-like behavior and 2) to recognize physical behaviors performed by trainees in a MOUT (Military Operations in Urban Terrain) team training simulation.
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BowGo - We have developed BOWGO (patent pending) - a new kind of pogo stick that bounces higher, farther and more efficiently than conventional devices.
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Circuit Extraction from MEMS Layout - We are developing a MEMS extraction module which reads in the geometric description of the layout structure and reconstructs the corresponding schematic.
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Cognitive Colonies - We are developing the basic principles that will best govern a group of robots trying to do useful work in difficult and hazardous environments.
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Cooperative Attack Munition Real Time Assessment - We are developing the algorithms required to achieve cohesive, flexible and robust coordination of large teams of autonomous Wide Area Search Munitions (WASMs) that can be controlled by a small number of human operators.
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Coordinators - The DARPA COORDINATORS program defines a challenging multi-agent application, with agents operating in a highly dynamic environment, where no agent has a complete view of the problem.
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CTA Robotics - This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
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Daml-S (Semantic) Matchmaker - We have developed our Semantic Matchmaker, an entity that will allow web services to locate other services, using DAML-S, a DAML-based language for describing service capabilities.
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Depression Assessment - This project aims to compute quantitative behavioral measures related to
depression severity from facial expression, body gestures, and vocal
prosody in clinical interviews.
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DEPTHX: Deep Phreatic Thermal Explorer - The DEPTHX: Deep Phreatic Thermal Explorer project is developing an
autonomy for underwater explorers to enable them to map their
environment and plan and execute science investigations. The DEPTHX
vehicle will explore the flooded caverns of the Zacaton Cenote in
Mexico in 2006.
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Discovery - We are developing an autoconfiguration mechanism for agents and infrastructures.
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Distributed Robot Architectures - The primary objective of this project is to develop fundamental capabilities that enable multiple, distributed, heterogeneous robots to coordinate tasks that cannot be accomplished by the robots individually.
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EMBER - The Ember project uses multi-agent teams, comprised of autonomous and human agents, to achieve effective results under emergency situations.
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Event Detection in Videos - Our event detection method can detect a wide range of actions in video by correlating spatio-temporal shapes to over-segmented videos without background subtraction.
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Ferret - We have developed a mine mapping robot.
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FingersightTM - We are developing videotactile fingertip sensors which will enable people to interact with the visible world via their fingertips.
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Frontal Face Alignment - This face alignment method detects generic frontal faces with large appearance variations and 2D pose changes and identifies detailed facial structures in images.
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Generic Active Appearance Models - We are pursuing techniques for non-rigid face alignment based
on Constrained Local Models (CLMs) that exhibit superior generic
performance over conventional AAMs.
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Global Connection Project - The Global Connection Project develops software tools and technologies to increase the power of images to connect, inform, and inspire people to become engaged and responsible global citizens.
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Grace - The Grace project is a collaboration among several schools and research
labs to design a robot capable of fully performing the AAAI Grand
Challenge.
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Hand Tracking and 3-D Pose Estimation - A 2-D and 3-D model-based tracking method can track a human hand rapidly moving and deformed on complicated backgrounds and recover its 3-D pose parameters.
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High-Aspect-Ratio CMOS Micromachining Process - We have developed an integrated CMOS- MEMS process in which electrostatically actuated microstructures with high-aspect-ratio composite-beam suspensions are fabricated using conventional CMOS processing.
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Human Motion Transfer - We are developing a system for capturing the motion of one person and rendering a different person performing the same motion.
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Intelligent Diabetes Assistant - We are working to create an intelligent assistant to help patients and
clinicians work together to manage diabetes at a personal and social
level. This project uses machine learning to predict the effect that
patient specific behaviors have on blood glucose.
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LORAX: Life on Ice, Robotic Antarctic Explorer - The LORAX: Life on Ice, Robotic Antarctic Explorer project is preparing
technology for a robotic investigation of microorganisms surviving
within the near-surface ice of the Antarctic plateau.
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MIGSOCK - We are developing MIGSOCK, a Linux kernel module that re-implements TCP to make socket migration possible.
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MORSE - The MORSE project is a simulated range operation, designed to evaluate effectiveness of the cognitive models and agents, in order to improve individual and team performance.
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Multi-People Tracking - Our multi-people tracking method can automatically initialize and terminate paths of people and follow multiple and changeable number of people on cluttered scenes over long time intervals.
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Multimodal Data Collection - A multimodal database of subjects performing the tasks involved in
cooking, captured with several sensors (audio, video, motion capture,
accelerometer/gyroscope).
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Real-time Face Detection - A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers.
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Resonator Synthesis - We have developed a resonator synthesis module; the first in a series of synthesis modules to overcome the lack of MEMS Cell Libraries.
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RETSINA Semantic Web Calendar Agent - We are Retsina Semantic Web Calendar Agent to assist in organizing and scheduling meetings between several individuals, and coordinating these meetings based on existing schedules maintained by MS Outlook.
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Roboceptionist - In collaboration with the Drama Department, we are developing technology
for long-term social interaction.
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Schematic Design for MEMS - We have developed nodal simulation software to enable a structured representation for MEMS design using a hierarchical set of MEM components.
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Science Autonomy - The Science Autonomy project seeks to improve the accuracy and
effectiveness of robotic planetary investigations by enabling automatic
detection of relevant science features, classification of feature
properties, and exploration planning that responds on-the-fly.
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Search and Rescue - Giving Urban Search and Rescue workers more technological tools to help find and save victims of natural disasters.
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Snake Robot Design - Analyzing the factors that are of importance in designing a snake robot, and implementing new designs.
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Sweep Monitoring - NREC developed the Sweep Monitoring System (SMS) for training soldiers and demining personnel to use hand-held land mine detectors.
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Text Miner - We are developing Text Miner, a system that automatically classifies news reports on a company's financial outlook.
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Texture Replacement in Real Images - We are developing methods to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions.
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UPI Teleoperation System - NREC is developing an immersive teleoperation system as part of the UGCV-PerceptOR Integration program.
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Urban Search and Rescue - We are developing Hybrid Teams of Autonomous Agents: Cyber Agents, Robots and People (CARPs) to address the challenges of urban search and rescue.
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