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Multi-Threaded Missions and Means FrameworkThis project explores the utilization of a multiagent modeling and simulation environment where multiple military domains or threads (e.g. Logistics, Transportation, Combat Operations, Intelligence, Engineering) can be described in terms of tasking and capabilities and their mission interactions simulated over some mission scenario time horizon. |
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Intelligent Question Answering in the HIV DomainNatural language technology and deductive inference are applied to allow a researcher to access online HIV databases through English queries. |
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Behavioral ProbesActivity Recognition in outdoor settings. |
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TransPAL: Transitioning PAL TechnologiesThe TransPAL project is transitioning a number of technologies developed on the DARPA PAL program for use by various members of the Armed Services. |
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Bootstrapped LearningCurrently, fielded software systems can only be modified by sending them "back to the shop" for expensive, time-consuming reprogramming. The goal of Bootstrapped Learning is to let end users rapidly modify system by instructing them in correct behavior, similar to how they would teach a person. |
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Leaving Flatland: Fast Autonomous Navigation For UGVs in Challenging TerrainWe envision a new research program on autonomous modeling and navigation, with the goal of enabling small unmanned ground vehicles (UGVs) to move alongside their human counterparts through virtually any environment. Such UGVs will operate indoor and outdoor, with no distinction, and at a speed compatible with human motion. This is a joint project with Stanford University and Boston Dynamics. |
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Karto DevelopmentThe KartoTM SDK leverages three decades of leading edge research by SRI International to provide high accuracy navigation, mapping, and exploration functionality across a broad range of mobile robot platforms. |
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PRIME: A Predictive Model Development EnvironmentThe goal was to develop PRIME, an effects-based modelling tool, as a web application. PRIME supports rapid, collaborative development of forecasts of the effects of a planned set of DIME (diplomatic, informational, military, or economic) actions. |
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Self-organizing mobile ad hoc networksWe address the problem of controlling large numbers of small mobile robots that form a multi-hop ad hoc communication network. We employ learning, optimization, and distributed coordination techniques to enable the robots to self-organize in order to maximize network performance. |
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Player developmentThis project supports development and maintenance of Player, an Open Source hardware abstraction layer for robotic devices. |
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of our past or present projects.
For further information
please contact us.
