Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

83
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
83

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Patient perceptions of dental students' professionalism in undergraduate prosthodontic clinics: a cross-sectional study.

Frontiers in oral health·2026
Same author

RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis.

Scientific data·2026
Same author

Mechanical and histopathological evaluation of osteointegration of dental implant fabricated from geopolymer reinforced by boron nitride nanoplatelets. An in vivo study.

Dental materials : official publication of the Academy of Dental Materials·2026
Same author

Enhanced wound healing in rat cheeks treated with lavender and ginger oils: A histological study.

Journal of Taibah University Medical Sciences·2026
Same author

Professionalism and e-Professionalism From Dentists' Perspective: A Multicenter Cross-Sectional Study.

International journal of dentistry·2026
Same author

Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN.

Scientific reports·2026

Related Experiment Video

Updated: May 6, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K

RTDRNet-lite: A lightweight real-time detection framework for robotic waste sorting.

Md Jawadul Karim1, Sirajum Munir2, Amith Khandakar3

  • 1Department of Computer Science and Engineering, BRAC University, Dhaka 1212, Bangladesh.

Waste Management (New York, N.Y.)
|October 7, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an AI-powered automated waste sorting system using the RTDRNet-lite model for efficient recycling. The integrated robotic arm demonstrates real-world potential for industrial waste management.

Keywords:
GUIGraphical user interfaceInverse kinematicsRobotic arm 4 DoFStable diffusion model C2F blockWaste detection

More Related Videos

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.3K
High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:05

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

8

Related Experiment Videos

Last Updated: May 6, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.3K
High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot
07:05

High-Throughput, In-Field Screening of Photosynthetic Efficiency in Crop Plants Using an Autonomous Robot

Published on: January 9, 2026

8

Area of Science:

  • Environmental Science and Engineering
  • Artificial Intelligence
  • Robotics

Background:

  • Urbanization presents significant waste management challenges globally.
  • Current waste recycling systems often lack efficiency and automation.
  • Intelligent sorting is crucial for effective waste management and resource recovery.

Purpose of the Study:

  • To develop a comprehensive, automated waste management framework for intelligent, real-time waste sorting.
  • To integrate AI-based detection with robotic hardware for enhanced waste processing.
  • To address the limitations of existing waste recycling technologies.

Main Methods:

  • Development of the RTDRNet-lite model, a lightweight variant of RT-DETR, achieving 97% mAP@50.
  • Hybrid training approach using real-world and Stable Diffusion-generated synthetic waste images.
  • Integration with a custom 4-degree-of-freedom robotic arm for live sorting validation.

Main Results:

  • RTDRNet-lite model demonstrates high accuracy (97% mAP@50) and reduced computational complexity.
  • Hybrid training enhanced model generalizability and handling of complex object boundaries.
  • Successful validation of the integrated system in live waste sorting tasks.

Conclusions:

  • The proposed AI and robotic system offers a robust and accurate solution for automated waste sorting.
  • The framework shows significant potential for deployment in industrial-scale waste management facilities.
  • This research advances intelligent waste management towards greater sustainability.