Simultaneous Localization and Mapping (SLAM) in visual environments combines real-time camera data with algorithmic processing to build spatial maps while tracking a sensor’s position within them.

Simultaneous Localization and Mapping (SLAM) is a cornerstone technology enabling autonomous robots to navigate and understand unknown environments without pre-existing maps. At its core, SLAM ...

Simultaneous Localization and Mapping (SLAM) uses observations to construct a graph, which often contains both environments (mapping), and robot trajectories (localization). RoCAL focuses on building ...

Emesent has launched its GX1 all-in-one mobile scanning system at Geo Week 2026 in Denver. The GX1 is an integrated, highly accurate all-in-one mobile scanning system combining simultaneous ...

The new T702 from ABB is a tug-style autonomous mobile robot (AMR) that uses Visual SLAM (simultaneous localization and mapping) navigation to create a 360-degree point cloud of data to navigate in ...

No audio available for this content. Tokyo-based Kudan Inc. demonstrated the use of a 3D-lidar simultaneous localization and mapping (SLAM) device to create a sharp point cloud without using an ...

A technical paper titled “Simultaneous Localization and Mapping (SLAM) for Synthetic Aperture Radar (SAR) Processing in the Field of Autonomous Driving” was published by researchers at Ulm University.

The new T702 from ABB is a tug-style autonomous mobile robot (AMR) that uses Visual SLAM (simultaneous localization and mapping) navigation to create a 360-degree point cloud of data to navigate in ...

ABB’s fusion of AI vision and intuitive software in the Flexley Mover aims to enable safer, more scalable autonomous navigation. ABB has upgraded its Flexley Mover MP604 model with advanced 3D visual ...