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Past Projects

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Battle Assessment and Data Dissemination (BADD)

Provided three-dimensional (3-D) site model data for integration with terrain data from other project participants, and provided our terrain visualization system, TerraVision, as an alternative visualization technology.


Behavioral Probes

Activity Recognition in outdoor settings.


Bootstrapped Learning

Currently, 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.


CAST Speech-to-Speech Translation

A limited domain, bidirectional, speech to speech translation project for handheld devices. The current languages are English and Pashto.


Centibots very large-scale robot teams

This is a joint project with Stanford, University of Washington, and ActiveMedia Robotics, to design, implement and demonstrate a computational framework for the coordination of very large robot teams, consisting of at least 100 small, resource limited robots, on an indoor reconnaissance task.


Cognitive Assistant that Learns and Organizes

As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

Terrain Change Detection

Continuous Terrain Modeling with Applications to Change Detection

The purpose of this project is to develop a robust and reliable method of detecting changes in the 3-D shape of terrain given sets of aerial/satellite images taken at different times.


Coordinated Multi-Agent Team Reasoning and Incremental eXecution

SRI and team members are working on developing systems that enable people working in teams to quickly and effectively manage change.


Coordination of Distributed Activities (CODA)

The CODA system provides targeted information dissemination among distributed planners as a way of improving team coordination. In CODA, an individual planner declares interest in different types of plan changes that could impact his local plan development. As a team of distributed users develop plans with a plan authoring tool, their activities are monitored; changes that match declared interests are forwarded automatically to the person who declared interest in them.


Copernicus: Automating Emergence Detection

IARPA’s Foresight and Understanding from Scientific Exposition (FUSE) Program seeks to develop automated methods that aid in the systematic, continuous, and comprehensive assessment of technical emergence using publicly available information found in published scientific, technical and patent literature. SRI’s team uses a theory-directed extension of best-of-breed language and network modeling techniques to produce the Copernicus system. SRI’s CSTED leads the theory of emergence task.

This website does not contain information on all of our past or present projects.
For further information please contact us.

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