Current Projects

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.

Past Projects

	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.

Software

Karto Robotic SDK Karto SDK for robot on the move

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 8 [View All]

• Morisset, B. and Rusu, R. and Sundaresan, A. and Hauser, K. and Agrawal, M. and Latombe, JC and Beetz, M. Leaving Flatland. Toward Real-Time 3D Navigation. IEEE International Conference on Robotics and Automation, 2009.  [Details]

• Rusu, R. and Sundaresan, A. and Morisset, B. and Agrawal, M. and Beetz, M. Leaving Flatland: Realtime 3D Stereo Semantic Reconstruction, in International Conference on Intelligent Robotics and Applications , October 2008.  [Details]

• Régis Vincent, Benoit Morisset, Andrew Agno, Michael Eriksen, Charlie Ortiz. CENTIBOTS: LARGE-SCALE AUTONOMOUS ROBOTIC SEARCH AND RESCUE EXPERIMENT, in 2nd International Joint Topical Meeting on Emergency Preparedness & Response and Robotics & Remote Systems, March 2008.  [PDF, Details]

• Vincent, R. and Dieter, F. and Ko, J. and Konolige, K. and Limketkai, B. and Morisset, B. and Ortiz, C. and Schulz, D. and Stewart, B. Distributed Multirobot Exploration, Mapping, and Task Allocationin Special Issue on Multi-Robot Coverage, Search, and Exploration, Annals of Math and Artificial Intelligence journal (AMAI) , 2008.  [Details]

• Morisset. B. and Ghallab M. Learning how to combine sensory-motor functions into a robust behavior.. Artificial Intelligence Journal, vol. 172, pp. 392-412, 2008.  [Details]