Abstract Coverage Path Planning (CPP) is the task of determining a path that passes over all
points of an area or volume of interest while avoiding obstacles. This task is integral to many …

Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

To solve the problem of unknown noise covariance matrices inherent in the cooperative
localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is …

Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …

In search and rescue operations, an efficient search path, colloquially understood as a path
maximizing the probability of finding survivors, is more than a path planning problem …

An autonomous underwater vehicle (AUV) is an economical and safe tool that is well-suited
for search, investigation, identification, and salvage operations on the sea floor. Path …

Underwater robot positioning and navigation achieve autonomous underwater robot
movement based on the premise that positioning obtains the coordinates of the relative …

Active learning is a decision-making process. In both abstract and physical settings, active
learning demands both analysis and action. This is a review of active learning in robotics …

Marine mammals relying on tactile perception for hunting are able to achieve a remarkably
high prey capture rate without visual or acoustic perception. Here, a self-powered …

In this paper, a new outlier-robust Student's t based Gaussian approximate filter is proposed
to address the heavy-tailed process and measurement noises induced by the outlier …