Brian Yamauchi, Ph.D.

Lead Roboticist

iRobot Corporation
iRobot Research Group
63 South Avenue

Burlington, MA 01803



My CV

My Robot Gallery (Now with video!)

Frontier-Based Exploration


The Daredevil Project

I'm the Principal Investigator for Daredevil, a Phase II SBIR project funded by the
US Army Tank-Automotive Research, Development, and Engineering Center (TARDEC). The goal of the project is to use ultra wideband (UWB) radar sensors to allow small UGVs (like the iRobot PackBot) to navigate through foliage (tall grass, forests, jungles) and adverse weather (rain, snow, dust) while avoiding obstacles.

Most autonomous robots use sensors such as vision or laser rangefinders (LIDAR) to detect obstacles.  While these sensors work well to detect solid obstacles in open space, they typically are not able to differentiate a solid object (which the robot needs to steer around) from foliage such as tall grass (which the robot can push through).  One of the primary goals of this project is to use UWB radars to see through foliage and to be able to differentiate between solid objects (such as people, rocks, or vehicles) and vegetation. 

Our initial results have been very promising.  The first image below shows a person (Mike) in a field of tall grass, barely visible to human eyesight.  The second image shows the UWB radar data, which clearly detects Mike through the vegetation.




The Sagittarius Project

I'm also the Prinicpal Investigator for the Sagittarius Project, a Phase I SBIR funded by the Air Force Research Laboratory at Wright-Patterson Air Force Base.  The goal of Sagittarius is to develop techniques that will enable unmanned ground vehicles (UGVs) and unmanned air vehicles (UAVs) to cooperate for tracking elusive dismounts (people who are trying to hide) in urban terrain.  This is a joint project with Sanjiv Singh and Christopher Geyer at the Carnegie Mellon Robotics Institute.



The Wayfarer Project



I was the Principal Investigator for the Wayfarer Project, a two-year, $1.3 million effort to develop autonomous urban navigation capabilities for man-portable mobile robots, such as the iRobot PackBot.  Wayfarer is funded by the U.S. Army Tank-automotive and Armaments Command (TACOM) Tank-Automotive Research, Development, and Engineering Center (TARDEC).  We have equipped two Wayfarer PackBot prototypes with stereo vision and LIDAR to perform autonomous reconnaissance missions in urban terrain, including GPS-denied areas.  The new ruggedized Wayfarer navigation payload is shown above left, and a 3D map generated by the Instant Scene Modeler (iSM) during perimeter reconnaissance is shown above right.  (iSM was developed by Stephen Se at MDA Corporation and was integrated with Wayfarer at iRobot Corporation.)


Wayfarer Videos

Previous Research

View the robots I've developed in my Robot Gallery.

I've previously conducted research and development in mobile robotics at:

While at the Naval Research Laboratory, I developed frontier-based exploration, a technique that allows mobile robots to explore and map unknown environments.


Selected Publications

Daredevil: Ultra Wideband Radar Sensing for Small UGVs
Brian Yamauchi, Proceedings of SPIE Vol. 6561: Unmanned Systems Technology IX, Orlando, FL, April 2007

Autonomous Urban Reconnaissance Using Man-Portable UGVs
Brian Yamauchi, Proceedings of SPIE Vol. 6230: Unmanned Systems Technology VIII, Orlando, FL, April 2006

Wayfarer: An Autonomous Navigation Payload for the PackBot
Brian Yamauchi, Proceedings of AUVSI Unmanned Vehicles North America 2005, Baltimore, MD, June 2005

The Wayfarer Modular Navigation Payload for Intelligent Robot Infrastructure
Brian Yamauchi, Proceedings of SPIE Vol. 5804: Unmanned Ground Vehicle Technology VII, Orlando, FL, March 2005
      
Griffon: A Man-Portable Hybrid UGV/UAV
Brian Yamauchi and Pavlo Rudakevych, Industrial Robot, Vol. 31, No. 5, pp. 443-450, 2004

PackBot: A Versatile Platform for Military Robotics
Brian Yamauchi, Proceedings of SPIE Vol. 5422: Unmanned Ground Vehicle Technology VI, Orlando, FL, April 2004

Integrating Exploration and Localization for Mobile Robots
Brian Yamauchi, Alan Schultz, and William Adams, Adaptive Behavior, Vol. 7, No. 2, Spring 2000

Mobile Robot Exploration and Map-Building with Continuous Localization
Brian Yamauchi, Alan Schultz, and William Adams, Proceedings of the 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium, May 1998, pp. 3715-3720

Frontier-Based Exploration Using Multiple Robots
Brian Yamauchi, Proceedings of the Second International Conference on Autonomous Agents (Agents '98), Minneapolis, MN, May 1998, pp. 47-53

A Frontier-Based Approach for Autonomous Exploration
Brian Yamauchi, Proceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Monterey, CA, July 1997, pp. 146-151

Place Recognition in Dynamic Environments
Brian Yamauchi and Pat Langley, Journal of Robotic Systems, Special Issue on Mobile Robots, Vol. 14, No. 2, February 1997, pp. 107-120

Spatial Learning for Navigation in Dynamic Environments
Brian Yamauchi and Randall Beer, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Special Issue on Learning Autonomous Robots, Vol. 26, No. 3, June 1996, pp. 496-505


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