The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Abstract The NTNU Centre for Autonomous Marine Operations and Systems (NTNU AMOS)
is as a ten-year research program, 2013-2022, addressing research challenges related to …

This paper presents a novel path planning algorithm for the autonomous exploration of
unknown space using aerial robotic platforms. The proposed planner employs a receding …

This paper proposes the use of path-planning algorithms for hovering autonomous
underwater vehicles (AUVs) in applications where the robot needs to adapt online its …

This paper presents a survey on optical sensors and methods for 3D reconstruction in
underwater environments. The techniques to obtain range data have been listed and …

Structural health monitoring (SHM) plays an increasingly vital role in guaranteeing the
operation success of marine and offshore (MO) structures while reducing their risks of …

Path planning is one of the most important problems in the development of autonomous
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for …

This article addresses the inspection problem of a complex 3D infrastructure using multiple
Unmanned Aerial Vehicles (UAVs). The main novelty of the proposed scheme stems from …

In this paper, we present a path planner for low-altitude terrain coverage in known
environments with unmanned rotary-wing micro aerial vehicles (MAVs). Airborne systems …

The utilization of unmanned aerial vehicles (UAVs) in survey and inspection of civil
infrastructure has been growing rapidly. However, computationally efficient solvers that find …