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All Projects

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BL

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.

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.

Karto

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.

PRIME

PRIME: A Predictive Model Development Environment

The 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.

Commbots

Self-organizing mobile ad hoc networks

We 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.

Player

Player development

This project supports development and maintenance of Player, an Open Source hardware abstraction layer for robotic devices.

XG-Policy

XG Policy Control

The vision of radically increased spectrum usage through XG-enabled radios requires regulatory bodies and spectrum holders to be convinced that the radios will follow rules and policies. This project will develop an expressive and extensible policy language with executable semantics, for describing policies that meet the needs of a wide variety of spectrum regulation bodies. We will also develop efficient reasoning algorithms to reason about policy compliance during radio operation.

cMatrix

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.

Neptune

Neptune

A user-centric, integrated planning and scheduling system that assists the user in exploring the rich space of plans and associated resource assignment options in complex, real-world domains. Each component of the system (user, planner, and scheduler) reacts to the actions of the other, resolving conflicts, and iteratively refining the solution until acceptable.

RADAR

RADAR

RADAR helps relieve email overload by identifying and helping to carry out tasks implied by received messages.

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

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