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 Development
The Karto^TM 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: A PMESII Model Development Environment
The goal is to develop a PMESII effects-based modelling tool for use by USAF Air Campaign Planners.
 

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

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.
 

Radar
Radar is a project focused on developing machine learning technology that can be used to help people perform better in information-overload situations.
 

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
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.
 

UAV Airspace Management System
The ISX/SRI/BRG team will develop a UAV Airspace Management System (UAMS) that operates at a Battalion echelon level to deconflict multiple small UAV path plans in real time using limited sensors, communications, and processing resources. UAMS will employ a hybrid centralized/distributed architecture supporting dynamic coordination mode selection for each (group) of UAVs. This work is sponsored by the Army Aviation Applied Technology Directorate (AATD).