Uncrewed aerial vehicle (UAV) research faces challenges with safety, scalability, costs, and
ecological impact when conducting hardware testing. High-fidelity simulators offer a vital …

Occupancy mapping is a fundamental component of robotic systems to reason about the
unknown and known regions of the environment. This article presents an efficient occupancy …

In this article, we propose a novel light detection and ranging (LiDAR)(-inertial) odometry
and mapping framework to achieve the goal of simultaneous localization and meshing in …

Autonomous flight for quadrotors in environments with suddenly appearing objects and
disturbances still faces significant challenges. In this work, we propose an integrated …

Perception is necessary for autonomous navigation in an unknown area crowded with
obstacles. It's challenging for a robot to navigate safely without any sensors that can sense …

Recent advances in LiDAR technology have opened up new possibilities for robotic
navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion …

This paper introduces FALCON, a novel Fast Autonomous expLoration framework using
COverage path guidaNce, which aims at setting a new performance benchmark in the field …

With the advancement and expansion of power system technology, ensuring the safe and
stable operation of transmission lines has become increasingly crucial. Traditional manual …

Efficient environment sharing is crucial for multi-robot tasks, such as exploration and
navigation. However, real-time environment sharing faces significant challenges due to …

Vehicular Fog Computing (VFC) is significantly enhancing the efficiency, safety, and
computational capabilities of Intelligent Transportation Systems (ITS), and the integration of …