Simultaneous sensing of location and mapping for autonomous robots

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.