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 ...

Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key ...

SLAM (simultaneous localization and mapping) is essential to navigation systems of mobile robots and there are various depth sensors used in SLAM including 2D and 3D LiDARs, stereoscopic cameras, ...

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 ...

Robotics and headsets or goggles are the most common hardware devices requiring AR/VR/mixed reality, and AR is coming to mobile phones, tablets, and automobiles as well. For hardware devices to see ...

Inertial Labs, Inc. (hereafter “Inertial Labs”), a leader in sensor fusion and 3D Lidar-based remote sensing solutions with its headquarters in Virginia, USA, along with Kudan Inc. (headquarters in ...

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 ...

SAN JOSE, Calif.--(BUSINESS WIRE)--On April 18 th, 2018, NavVis released their M6, a fully-integrated, cart-based system designed for large-scale indoor mapping. The M6 utilizes VLP-16 sensors by ...

Although robotic lawnmowers have come a long way, many still require users to lay down perimeter wires and clear the lawn of any obstacles. Such is not the case with the Neomow X, though, as it ...