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Past Projects

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Mixed-Initiative Planning and Scheduling for Science Missions

We are developing mixed-initiative planning and scheduling technology that will enable NASA scientists to construct high quality mission plans that achieve as many of their science goals as possible, while satisfying all operations constraints. Our research will explore fundamental issues in how to reason about decisions and preferences from multiple sources, how to specify and utilize user preferences, and how to automate trade-off analysis. (With Ari Jonsson and John Bresina from NASA Ames)


Meme Epidemiology

Meme Epidemiology sought to explain the propagation of ideas in online communities using techniques from epidemiology. We adopted a strict interpretation of "meme": an idea subject to linguistic expression and useful as a marker of cultural group membership.

Leaving Flatland

Leaving Flatland: Fast Autonomous Navigation For UGVs in Challenging Terrain

We 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.


Knowledge Creation Tools for DAML

This project is building ontologies and tools in support of the Semantic Web, as part of the DARPA Agent Markup Language program.


Karto Development

The 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.

JFACC Continuous Planning

JFACC Continuous Planning and Execution

The main result of this project was the development of the Continuous Planning and Execution Framework (CPEF), which provides plan generation and replanning capabilities for situated agents in highly dynamic environments. Within CPEF, plans are treated as dynamic, open-ended artifacts that evolve in response to an ever-changing environment. In particular, plans must be updated in response to new information and requirements in a timely fashion to ensure their relevance and viability.


Intelligent Workflow for Collection Management

The objective of this project was to develop a revolutionary approach to workflow management within the Intelligence Survaillance and Reconnaissance (ISR) domain. The SWIM system was developed and demonstrated advanced workflow management techniques and intelligent reactive control. Research was conducted in the following areas. Information flow control, reasoning about agent capabilities and delegation, and algorithms necessary for dynamic process creation, adaptation and load balancing.


Intelligent Question-Answering Systems

This report summarizes two years of research effort that included studies of computer memory organization, formal theorem-proving techniques, the application of theorem-proving techniques to new problem domains, and the use of limited natural language input to a question-answering system.


Intelligent Question Answering in the HIV Domain

Natural language technology and deductive inference are applied to allow a researcher to access online HIV databases through English queries.

Integrated Learning

Integrated Learning

The Integrated Learning project is focused on developing machine learning technology that would enable a system to learn general planning knowledge from user demonstrations of processes.

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

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