Currently, autonomous underwater vehicles (AUVs) are facing various challenges, rendering multiple-AUV (multi-AUV) formation control a pivotal research direction.
Gang Shao, Lei Wan, Huixi Xu
doaj +1 more source
Model Identification and Control Design for a Humanoid Robot [PDF]
In this paper, model identification and adaptive control design are performed on Devanit-Hartenberg model of a humanoid robot. We focus on the modeling of the 6 degree-of-freedom upper limb of the robot using recursive Newton-Euler (RNE) formula for the ...
Chenguang Yang
core +1 more source
Enabling Under Ice Glider Operations: A Backseat Driver Approach
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang +12 more
wiley +1 more source
Synchronous-clock range-angle relative acoustic navigation: a unified approach to multi-AUV localization, command, control, and coordination [PDF]
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Rypkema, N., Schmidt, H., & Fischell, E.
Fischell, Erin M. +2 more
core +2 more sources
Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments
ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao +5 more
wiley +1 more source
Sub-parent AUV with multi-load release capacity: principle, mechanism design and performance testing
Objective This paper proposes the concept of a sub-parent AUV to address the specific requirements of load capacity, response speed and multi-body coordination in scenarios such as underwater search and rescue, wartime defense and dense attacks.
Haochen LI +5 more
doaj +1 more source
An Adaptive Design Methodology for Reduction of Product Development Risk
Embedded systems interaction with environment inherently complicates understanding of requirements and their correct implementation. However, product uncertainty is highest during early stages of development.
Khan, Dr. Ibrahim +3 more
core +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Multi-AUV Cooperative Search for Moving Targets Based on Multi-Agent Reinforcement Learning
This paper proposes a convolutional multi-agent deep deterministic policy gradient method with prioritized experience replay (PER-CMADDPG) for the problem of multi-AUV cooperative search for moving targets. A comprehensive mathematical model of the multi-
Le Li, Ruiqi An, Zhaozhi Guo, Jian Gao
doaj +1 more source
Optimal trajectory generation in ocean flows [PDF]
In this paper it is shown that Lagrangian Coherent Structures (LCS) are useful in determining near optimal trajectories for autonomous underwater gliders in a dynamic ocean environment.
Inanc, Tamer +2 more
core +1 more source

