Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic
inspection of large surfaces using computer vision. In this work, we first formulate the …
inspection of large surfaces using computer vision. In this work, we first formulate the …
Information-theoretic map** using cauchy-schwarz quadratic mutual information
We develop a computationally efficient control policy for active perception that incorporates
explicit models of sensing and mobility to build 3D maps with ground and aerial robots. Like …
explicit models of sensing and mobility to build 3D maps with ground and aerial robots. Like …
ACO-A*: Ant colony optimization plus A* for 3-D traveling in environments with dense obstacles
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 …
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for …
Multi-agent autonomy: Advancements and challenges in subterranean exploration
Artificial intelligence has undergone immense growth and maturation in recent years, though
autonomous systems have traditionally struggled when fielded in diverse and previously …
autonomous systems have traditionally struggled when fielded in diverse and previously …
Efficient visual exploration and coverage with a micro aerial vehicle in unknown environments
In this paper, we propose a novel and computationally efficient algorithm for simultaneous
exploration and coverage with a vision-guided micro aerial vehicle (MAV) in unknown …
exploration and coverage with a vision-guided micro aerial vehicle (MAV) in unknown …
An autonomous coverage path planning algorithm for maritime search and rescue of persons-in-water based on deep reinforcement learning
The prevalence of maritime transportation and operations is increasing, leading to a gradual
increase in drowning accidents at sea. In the context of maritime search and rescue (SAR), it …
increase in drowning accidents at sea. In the context of maritime search and rescue (SAR), it …
Scalable coverage path planning of multi-robot teams for monitoring non-convex areas
This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …
Coverage path planning with real‐time replanning and surface reconstruction for inspection of three‐dimensional underwater structures using autonomous …
We present a novel method for planning coverage paths for inspecting complex structures
on the ocean floor using an autonomous underwater vehicle (AUV). Our method initially …
on the ocean floor using an autonomous underwater vehicle (AUV). Our method initially …
Multi-UAV coverage path planning for the inspection of large and complex structures
We present a multi-UAV Coverage Path Planning (CPP) framework for the inspection of
large-scale, complex 3D structures. In the proposed sampling-based coverage path …
large-scale, complex 3D structures. In the proposed sampling-based coverage path …
Multi-goal path planning using multiple random trees
In this letter, we propose a novel sampling-based planner for multi-goal path planning
among obstacles, where the objective is to visit predefined target locations while minimizing …
among obstacles, where the objective is to visit predefined target locations while minimizing …