Autonomous robot operation in unstructured and unknown environments requires efficient
techniques for map** and exploration using streaming range and visual observations …

With the continuous development of robotics and computer vision technology, mobile robots
have been widely applied in various fields. In this process, semantic maps for robots have …

This paper contributes a novel strategy for semantics-aware autonomous exploration and
inspection path planning. Attuned to the fact that environments that need to be explored …

This paper presents an approach to take into account semantic information for autonomous
robot tasks requiring path planning capabilities. A semantic pointcloud or map serves as …

Active SLAM plays a crucial role in applications of embodied intelligence. Previous learning-
based methods struggle to sufficiently leverage semantic information in the environment …

This paper presents an approach to take into account semantic information for autonomous
robot tasks which require planning capabilities, eg, to determine a path or a next-best-view …

Many real-world mobile robot applications, such as disaster response, military
reconnaissance, and environmental monitoring, require operating in unknown and …