When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …

Localization is an essential capability for mobile robots, enabling them to build a
comprehensive representation of their environment and interact with the environment …

With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …

LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which
assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated …

Robot exploration in GPS-denied environments is a significant challenge due to the lack of
reliable localization strategies. In this article, we propose a dual-layer planning approach …

The simultaneous localization and mapping (SLAM) method based on the brain-space
cognitive model can improve the localization accuracy of the robot through memory. The …

As loop-closure detection plays a fundamental role in any simultaneous localization and
mapping (SLAM) system, through its ability to recognize previously visited locations, one of …

With the fast and unstoppable evolution of robotics and artificial intelligence, effective
autonomous navigation in real-world scenarios has become one of the most pressing …

Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …

Aiming to recognize familiar places through the camera measurements during a robot's
autonomous mission, visual loop-closure pipelines are developed for navigation …