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All Projects

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Shakey III

Research and Applications – Artificial Intelligence

A continuation of the AI research based around Shakey.

Shakey II

Research on Intelligent Automata

A continuation of the original Shakey robot project, investigating AI problems involved in developing a robot.

QA

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.

Shakey

Application of Intelligent Automata to Reconnaissance

Development of the original robot Shakey for exploring AI problems.

BioCyc

BioCyc Database Collection

The BioCyc Database Collection is a collection of Pathway/Genome Databases. Each database in the BioCyc collection describes the genome and metabolic pathways of a single organism.

BsubCyc

BsubCyc: The Bacillus subtilis Model-Organism Database

BsubCyc is a model-organism database that describes the genome and the biochemical machinery of Bacillus subtilis. The long-term goal of the project is to describe the molecular catalog of the B. subtilis cell and the functions of each of its molecular parts, to facilitate a system-level understanding of B. subtilis.

CAST

CAST Speech-to-Speech Translation

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

EcoCyc

EcoCyc: Encyclopedia of Escherichia coli Genes and Metabolism

EcoCyc is a bioinformatics database that describes the genome and the biochemical machinery of E. coli. The long-term goal of the project is to describe the molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli.

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.

LAGR

Learning Applied to Ground Robots

LAGR is a DARPA project to develop autonomous offroad navigation, using techniques based on realtime vision and learning.

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

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