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 ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

LONDON--(BUSINESS WIRE)--SLAMcore, a pioneer in vision-based location and mapping for robots, autonomous machines and consumer electronics products, has raised $16 million in Series A capital that ...

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 ...

To explore a new environment, a robot must observe nearby objects and landmarks, and also keep track of its own location to make sense of the features it observes. That problem is hard enough if ...

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and navigate complex indoor spaces more safely and efficiently. (Nanowerk News) ...

If you’ve seen a robot vacuum at work, you’ve probably stared at it as it trundles around a room, gobbling up crumbs and dirt, dodging (or bumping into) every chair leg and stray sock you’ve got on ...

In an article published in the Massachusetts Institute of Technology (MIT) News, researchers have developed a visual geometry grounded transformer-simultaneous localization and mapping (VGGT-SLAM), 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 ...