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.
 

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.
 

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.
 

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.
 

TEAMBOTICA: A Robotic framework for integrated teaming, tasking, networking and control
Teambotica is a research initiative to develop the computational framework necessary for intelligent, autonomous teams of robots to operate in hostile environments.