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Papers
61,005 resultsShowing papers similar to A novel autonomous microplastics surveying robot for beach environments
ClearDevelopment of Garbage Collecting Robot for Marine Microplastics
Researchers designed and developed an autonomous cleaning robot for collecting marine microplastics scattered on beaches, using a conveyor belt and tray system to mechanically gather and retain small plastic particles. The study addresses the practical difficulty of manually collecting dispersed microplastics and demonstrates the robot's configuration and operational concept for beach remediation.
Automatic Beach Cleaning Robot
Researchers designed a portable automatic beach cleaning robot for collecting plastic debris from sandy beaches to reduce marine pollution and protect aquatic ecosystems.
Improvement and Empirical Testing of a Novel Autonomous Microplastics-Collecting Semisubmersible
Researchers improved an autonomous microplastic-collecting robot, testing design modifications that enhanced sampling efficiency and navigation in surface water environments, moving toward practical automated monitoring of plastic pollution.
Development of Garbage Collecting Robot for Marine Microplastics
This paper describes the design of a robot intended to collect microplastics from beaches, addressing the practical challenge that hand collection of scattered, tiny plastic particles is impractical at scale. Laboratory experiments characterized how sand behaves under the robot's excavation mechanism, providing engineering data for building autonomous marine microplastic cleanup devices.
Beach Cleaning Robots a Comprehensive Survey of Technologies Challenges, and Future Directions
This paper is not relevant to microplastics; it is a survey of robotic technologies and methodologies for automated beach cleaning and litter removal.
Development of Garbage Collecting Robot for Marine Microplastics
Researchers developed a garbage-collecting robot designed to remove plastic debris from coastal areas before it degrades into microplastics, addressing the logistical challenge of cleaning extensive shorelines with minimal human labor and resources.
Design and Development of Smart Beach Debris Collection and Segregation System
Researchers designed and built a smart automated system for collecting and segregating beach debris, using sensors and robotics to identify and sort plastic waste from natural material on shorelines. The system demonstrated effective separation of plastic debris in field tests.
Marine Sediment Sampling With an Underwater Legged Robot: A User-Driven Sampling Approach for Microplastic Analysis
Researchers developed a novel marine sediment sampling system using an underwater legged robot designed specifically for microplastic assessment studies. The system was built to meet the requirements of marine biologists, allowing precise sediment collection at controlled depths with minimal disturbance, enabling more reliable and repeatable microplastic sampling in underwater environments.
Artificial intelligence-empowered collection and characterization of microplastics: A review
This review examines how artificial intelligence tools like robots and machine learning are being used to collect, identify, and characterize microplastic pollution more efficiently. Better detection technology matters for human health because accurately measuring microplastic contamination in water and soil is the first step toward understanding and reducing our exposure.
MantaRay: A novel autonomous sampling instrument for in situ measurements of environmental microplastic particle concentrations
Engineers developed MantaRay, an autonomous instrument that can measure microplastic particle concentrations in the ocean in real time without requiring a research ship or human operator. Automated monitoring devices like this could make large-scale, cost-effective mapping of microplastic distribution across the ocean much more feasible.
Exploring the Potential of Autonomous Underwater Vehicles for Microplastic Detection in Marine Environments: A Review
This review explores how autonomous underwater vehicles equipped with sensors could detect microplastics directly in the ocean, rather than relying on labor-intensive water sampling. Current detection methods are slow and expensive, making real-time monitoring difficult. Advances in onboard sensing technology could dramatically improve our understanding of where microplastics concentrate in marine environments.
Towards Accessible Aquatic Cleanup: A Low-Cost Solution for Floating Waste Extraction
Researchers designed and tested a low-cost autonomous floating waste extractor using a conveyor mechanism to capture lightweight surface pollutants including microplastics, demonstrating high efficiency in capturing debris and offering an affordable solution for resource-constrained settings.
Robotic Vacuum Cleaner for Microplastics
Researchers developed a robotic device capable of vacuuming up tiny plastic particles floating on the surface of water bodies, offering a new tool for cleaning up microplastic pollution in lakes, ponds, or coastal areas. The device represents a step toward automated, scalable approaches for removing microplastics from aquatic environments.
A Spiral-Propulsion Amphibious Intelligent Robot for Land Garbage Cleaning and Sea Garbage Cleaning
Not relevant to microplastics research; this paper presents the design and testing of an amphibious robot capable of collecting garbage from beaches, tidal flats, and the ocean surface, but does not analyze microplastic pollution specifically.
SMACC: A System for Microplastics Automatic Counting and Classification
Researchers developed an automated computer vision system (SMACC) that uses image analysis to count and classify plastic particles in beach samples, demonstrating that machine learning can substantially reduce the time and effort required for large-scale beach microplastic monitoring.
Unmanned Vehicle and Hyperspectral Imager for a More Rapid Microplastics Sampling and Analysis
Researchers tested a combination of an autonomous surface vehicle and a near-infrared hyperspectral imager to rapidly sample and identify microplastics on the Norwegian coast. Results compared favorably with standard FTIR analysis and demonstrated a repeatable method for assessing spatially variable microplastic concentrations in the marine environment.
Microplastic and nanoplastic analysis methods, tests and reference materials
Researchers described a workflow combining a streamlined experimental setup with automated image analysis to quantify marine microplastic debris, addressing the limitations of labor-intensive manual counting methods that currently prevent scalable and consistent global plastic monitoring.
Autonomous Beach Cleaner Robot: A Mechatronic and Control Approach for Sustainable Coastal Pollution Management at Peru
Researchers designed an autonomous solar-powered beach cleaning robot for Peru that uses ultrasonic sensors and a sieving mechanism to detect and collect microplastics and other coastal debris, following a V-model design methodology.
Nano/Microplastics Capture and Degradation by Autonomous Nano/Microrobots: A Perspective
This perspective article explores how tiny self-propelled nano- and microrobots could be used to capture and break down microplastic and nanoplastic particles in water. Researchers reviewed recent advances showing these autonomous robots can efficiently collect plastic particles through enhanced physical interactions as they move through contaminated water. The technology represents a promising but still early-stage approach to actively cleaning up plastic pollution at scales too small for conventional methods.
Designing a Low-Cost Microcontroller-Based Rover for Microplastic Detection Using Deep-Learning Image Detection and Near-Infrared Spectroscopy
Researchers designed a low-cost microcontroller-based rover for detecting nurdle microplastics in shoreline environments, integrating a compressed deep-learning object detection model trained on 150 images of polyethylene pellets with an AS7263 near-infrared sensor for spectral confirmation of polyethylene. The Raspberry Pi 3-based system demonstrated efficient microplastic identification across varying lighting conditions and burial depths in sand.
Application of hyperspectral imaging and machine learning for the automatic identification of microplastics on sandy beaches
Hyperspectral imaging combined with machine learning was applied to identify and classify microplastics on sandy beach surfaces, offering a faster and more scalable alternative to conventional spectroscopic analysis for large-area environmental monitoring.
An Artificial Intelligence based Optical Sensor for Microplastic Detection in Seawater
Researchers developed an AI-based optical sensor system combining an optical detection subsystem and an image acquisition subsystem to detect and identify microplastic particles in seawater, distinguishing them from naturally occurring marine particles. The device applies AI algorithms to analyze consecutive image frames and classify particles as microplastic or non-microplastic, with the full system housed in two portable cases.
A Machine Arm to Assist in Trash Sorting using machine Learning and Object Detection
Not relevant to microplastics — this paper describes a robotic arm system that uses machine learning and computer vision to sort recyclable waste materials, focused on automation of waste sorting processes.
Detection of Microplastics Using Machine Learning
Researchers reviewed and demonstrated machine learning approaches for detecting and classifying microplastics in environmental samples, finding that automated image analysis and spectral classification methods can improve the speed and accuracy of microplastic monitoring compared to manual methods.