Purpose – To describe an innovative new technology, simultaneous localization and mapping (SLAM), for creating maps and localization for autonomous robot operations. Design/methodology/approach – A series of stereo cameras gather images of a 3D area. A software package then analyzes the images to create a 3D map of the area and to monitor the real‐time location of the robot in the area. Findings – The SLAM approach will open up the range of possible autonomous mobile robot applications, especially service and non‐industrial applications. Practical implications – The scalable SLAM system and algorithms will enable improved performance in current as well as new mobile autonomous robot applications. Originality/value – Users now have a totally new means for creating “maps” for autonomous mobile robotic activities.
Sensor Review – Emerald Publishing
Published: Mar 28, 2008
Keywords: Maps; Robotics; Sensors
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