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Proceedings Paper

The Wayfarer modular navigation payload for intelligent robot infrastructure
Author(s): Brian Yamauchi
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Paper Abstract

We are currently developing autonomous urban navigation capabilities for the iRobot PackBot. The TARDEC-funded Wayfarer Project is developing a modular navigation payload that incorporates LIDAR, vision, FLIR, and inertial navigation sensors. This payload can be attached to any PackBot and will provide the robot with the capability to perform fully-autonomous urban reconnaissance missions. These capabilities will enable the PackBot Wayfarer to scout unknown territory and return maps along with video and FLIR image sequences. The Wayfarer navigation payload includes software components for obstacle avoidance, perimeter and street following, and map-building. The obstacle avoidance system enables the PackBot to avoid collisions with a wide range of obstacles in both outdoor and indoor environments. This system combines 360-degree planar LIDAR range data with 3D obstacle detection using stereo vision using a Scaled Vector Field Histogram algorithm. We use a real-time Hough transform to detect linear features in the range data that correspond to building walls and street orientations. We use the LIDAR range data to build an occupancy grid map of the robot's surroundings in real-time. Data from the range sensors, obstacle avoidance, and the Hough transform are transmitted via UDP over wireless Ethernet to an OpenGL-based OCU that displays this information graphically and in real-time.

Paper Details

Date Published: 27 May 2005
PDF: 12 pages
Proc. SPIE 5804, Unmanned Ground Vehicle Technology VII, (27 May 2005); doi: 10.1117/12.604046
Show Author Affiliations
Brian Yamauchi, iRobot Corp. (United States)

Published in SPIE Proceedings Vol. 5804:
Unmanned Ground Vehicle Technology VII
Grant R. Gerhart; Charles M. Shoemaker; Douglas W. Gage, Editor(s)

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