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Papers
61,005 resultsShowing papers similar to Automatic Beach Cleaning Robot
ClearDevelopment 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.
Development 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.
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.
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.
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.
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.
A novel autonomous microplastics surveying robot for beach environments
Researchers developed a novel autonomous robotic platform for detecting and chemically analyzing microplastics on beach surfaces, using a camera mounted on a robotic arm end effector to scan areas and identify particles smaller than 5 mm. The mobile manipulator system automatically locates and chemically characterizes microplastics in situ, addressing the challenge of large-scale environmental monitoring in coastal environments.
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.
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.
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.
Trash Collection Gadget: A Multi-Purpose Design of Interactive and Portable Solution for Beach Cleanup
This study designed and prototyped a playful robotic cleanup system with three components intended to collect beach litter while engaging families and children during visits. The device was conceived as an interactive educational tool that makes beach cleanup accessible and enjoyable for the public.
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.
Bio-Inspired Marine Waste Collection System with Adaptive Suction Mechanism: Energy Optimization through Intelligent Waste Dimension Recognition
Researchers designed an autonomous marine waste collection robot inspired by fish feeding biomechanics, integrating AI navigation, renewable energy, and an adaptive suction mechanism for capturing plastic debris. The dual-chamber vacuum system demonstrated energy-efficient marine debris collection, representing a bioinspired approach to ocean plastic remediation.
Ecología robótica desde el litoral: resultados de un programa fortalecedor de las habilidades para la ciencia
A STEAM-based robotics program was used with students on coastal beaches to study and address the problem of shoreline plastic waste. The program combined science education with hands-on environmental monitoring, demonstrating that educational robotics can help raise awareness about marine litter among young people.
Development of Drifting Debris Detection System using Deep Learning on Coastal Cleanup
Researchers developed a deep learning-based system to detect litter on beaches using images and automated object recognition. Efficient litter detection tools could help coastal cleanup programs identify and remove plastic debris before it breaks down into microplastics.
FindingPlastic: Underwater Plastic Bag Detection and Retrieval
Engineers developed an automated system using artificial intelligence to detect, track, and capture floating plastic bags underwater before they break down into microplastics. The system combines modern object detection and tracking algorithms and was successfully tested in a tank environment, offering a potential tool for robotic ocean cleanup efforts.
Autonomous detection and sorting of litter using deep learning and soft robotic grippers
Researchers developed LitterBot, an autonomous robotic system that uses deep learning-based object detection and segmentation to identify, localize, and classify common roadside litter, and pairs this with soft robotic grippers to automate the collection process, addressing the labor-intensive and hazardous nature of roadside litter picking.
“WAVECLEAN” – An Innovation in Autonomous Vessel Driving Using Object Tracking and Collection of Floating Debris
Researchers designed an autonomous vessel called WAVECLEAN that uses object-tracking technology to identify and collect floating marine debris, including plastics. The system combines camera-based detection with machine learning to navigate waterways and gather waste without human operation. The study demonstrates a technology-driven approach to addressing plastic pollution in harbors, rivers, and coastal areas.
How to Deal With Seafloor Marine Litter: An Overview of the State-of-the-Art and Future Perspectives
This review examined the state of the art for detecting and removing marine litter from the seafloor, finding that while surface and beach litter has received substantial attention, seafloor litter remains understudied and that emerging technologies including underwater robotics offer promising future cleanup pathways.
Developing Beach Litter Monitoring System Based on Reflectance Characteristics and its Abundance
Researchers developed a beach litter monitoring system using optical reflectance characteristics of plastic debris, training a remote sensing model to detect and classify litter items on sandy beach surfaces. The system demonstrated accurate detection of common plastic litter types and offers a scalable, automated alternative to manual beach surveys.
Particle Swarm Optimization Based Efficient Path Planning in Autonomous Marine Trash Collection
Researchers developed a marine trash-collecting robot guided by Particle Swarm Optimization (PSO) and GPS, which uses a conveyor-based collection mechanism and sensor input to navigate waterways and efficiently collect floating plastic debris.
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.
Design of clean energy based microplastic collection device
Researchers developed a clean energy-powered microplastic collection device designed to capture plastic particles smaller than 5 mm from aquatic environments, leveraging the chemical stability and persistence of microplastics as a design challenge.