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 ...

• Driving Innovation with SLAM Technology in Autonomous Systems Robotics AR VR and Smart Cities. • Emerging Opportunities in SLAM Technology Driven by 5G AI Digital Twins and Interactive Experiences.

A team of researchers specializes in SLAM, or simultaneous localization and mapping, the technique whereby mobile autonomous robots map their environments and determine their locations. Now these ...

MIT researchers have built a new AI system that allows robots to create detailed 3D maps of complex environments within seconds. The technology could transform how search-and-rescue robots navigate ...

Mobile robots require basic information to navigate through an environment: they need to know where they are (localization) and they need to know where they are going. For the latter, robots need a ...

Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...

Imagine you're a firefighter arriving at a burning building, but you have no idea what the interior layout of that building is. Do you just enter, then risk your life by randomly walking up and down ...