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Environmental monitoring of marine environments presents several challenges: the harshness of the environment, the often remote location, and most importantly, the vast area it covers. Manual operations are time consuming, often dangerous,…

The ability to navigate, search, and monitor dynamic marine environments such as ports, deltas, tributaries, and rivers presents several challenges to both human operated and autonomously operated surface vehicles. Human data collection and…

This paper presents the portable autonomous probing system (APS), a low-cost robotic design for collecting water quality measurements at targeted depths from an autonomous surface vehicle (ASV). This system fills an important but often…

机器人学 · 计算机科学 2021-10-29 Yuying Huang , Yiming Yao , Johanna Hansen , Jeremy Mallette , Sandeep Manjanna , Gregory Dudek , David Meger

Manually monitoring water quality is very exhausting and requires several hours of sampling and laboratory testing for a particular body of water. This article presents a solution to test water properties like electrical conductivity and pH…

系统与控制 · 电气工程与系统科学 2022-01-27 MM Rashid , Rupal Roy , Md Manjurul Ahsan , Zahed Siddique

Accurate and cost effective mapping of water bodies has an enormous significance for environmental understanding and navigation. However, the quantity and quality of information we acquire from such environmental features is limited by…

系统与控制 · 电气工程与系统科学 2022-07-19 Bibin Wilson , Anand Singh , Amit Sethi

Within the next several years, there will be a high level of autonomous technology that will be available for widespread use, which will reduce labor costs, increase safety, save energy, enable difficult unmanned tasks in harsh…

机器人学 · 计算机科学 2023-01-12 Yuanyuan Qiao , Jiaxin Yin , Wei Wang , Fábio Duarte , Jie Yang , Carlo Ratti

The transport industry has recently shown significant interest in unmanned surface vehicles (USVs), specifically for port and inland waterway transport. These systems can improve operational efficiency and safety, which is especially…

机器人学 · 计算机科学 2026-04-22 Bavo Lesy , Siemen Herremans , Robin Kerstens , Jan Steckel , Walter Daems , Siegfried Mercelis , Ali Anwar

Climate change has increased the frequency and severity of extreme weather events such as hurricanes and winter storms. The complex interplay of floods with tides, runoff, and sediment creates additional hazards -- including erosion and the…

We present a transportable system for ocean observations in which a small autonomous surface vehicle (ASV) adaptively collects spatially diverse samples with aid from a team of inexpensive, passive floating sensors known as drifters.…

机器人学 · 计算机科学 2021-01-13 Johanna Hansen , Sandeep Manjanna , Alberto Quattrini Li , Ioannis Rekleitis , Gregory Dudek

This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collection. The current prototype is a compact USV, with a length of…

Autonomous coverage has tremendous importance for environmental surveying and exploration tasks performed on rivers both in terms of efficiency and data collection quality. Most surveys of rivers are performed manually using quite similar…

机器人学 · 计算机科学 2019-08-09 Nare Karapetyan , Jason Moulton , Ioannis Rekleitis

We introduce a multi-sensor navigation system for autonomous surface vessels (ASV) intended for water-quality monitoring in freshwater lakes. Our mission planner uses satellite imagery as a prior map, formulating offline a mission-level…

机器人学 · 计算机科学 2024-08-26 Philip Huang , Tony Wang , Florian Shkurti , Timothy D. Barfoot

Research on coastal regions traditionally involves methods like manual sampling, monitoring buoys, and remote sensing, but these methods face challenges in spatially and temporally diverse regions of interest. Autonomous surface vehicles…

机器人学 · 计算机科学 2024-05-29 Mingi Jeong

Implementing fully automatic unmanned surface vehicles (USVs) monitoring water quality is challenging since effectively collecting environmental data while keeping the platform stable and environmental-friendly is hard to approach. To…

机器人学 · 计算机科学 2022-11-09 Tianqi Zhang , Tong Shen , Kai Yuan , Kaiwen Xue , Huihuan Qian

Unmanned surface vehicles (USVs) and boats are increasingly important in maritime operations, yet their deployment is limited due to costly sensors and complexity. LiDAR, radar, and depth cameras are either costly, yield sparse point clouds…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Benjamin Kiefer , Yitong Quan , Andreas Zell

This paper addresses the problem of robotic operations in the presence of adversarial forces. We presents a complete framework for survey operations: waypoint generation,modelling of forces and tuning the control. In many applications of…

机器人学 · 计算机科学 2021-03-31 Nare Karapetyan , Jason Moulton , Ioannis Rekleitis

This paper describes the design, implementation and testing of a suite of algorithms to enable depth constrained autonomous bathymetric (underwater topography) mapping by an Autonomous Surface Vessel (ASV). Given a target depth and a…

机器人学 · 计算机科学 2016-04-01 Troy Wilson , Stefan B. Williams

Autonomous surface vehicles (ASV) allow the investigation of coastal areas, ports and harbors as well as harsh and dangerous environments such as the arctic regions. Despite receiving increasing attention, the hydrodynamic analysis of ASV…

流体动力学 · 物理学 2022-09-12 Riccardo Pellegrini , Simone Ficini , Angelo Odetti , Andrea Serani , Massimo Caccia , Matteo Diez

In this study, a small, inexpensive remotely driven underwater vehicle that can navigate in shallow water for the purpose of monitoring water quality and demonstrating vehicle control algorithms is presented. The vehicle is operated by an…

系统与控制 · 电气工程与系统科学 2023-03-24 Ahsan Tanveer , Sarvat Mushtaq Ahmad

Autonomous surface vessels (ASV) represent a promising technology to automate water-quality monitoring of lakes. In this work, we use satellite images as a coarse map and plan sampling routes for the robot. However, inconsistency between…

机器人学 · 计算机科学 2023-05-01 Yizhou Huang , Hamza Dugmag , Timothy D. Barfoot , Florian Shkurti
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