Simultaneous sensing of location and mapping for autonomous robots

Abstract

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.