What question did this study set out to answer?

The aim is to automate the sorting process of construction and demolition waste to improve safety and efficiency.

April 10, 2026Open Access

Autonomous Robotic System for on-site Construction Waste Assessment and Separation in Wuhan - 1Pager

Puntos clave

The aim is to automate the sorting process of construction and demolition waste to improve safety and efficiency.
Deploys an autonomous mobile robot for waste sorting
Integrates YOLOv8 for visual detection of materials
Uses Near-Infrared (NIR) technology for material verification
Identifies six key waste categories
Achieves a 60% recycling rate
Reduces reliance on manual sorting
Decreases logistical costs of waste transport
Effectively categorizes hazardous and non-hazardous materials

Resumen

This demo deploys an autonomous mobile robot for real-time, on-site construction and demolition (C&D) waste sorting. By integrating YOLOv8 visual detectionwith Near-Infrared (NIR) material verification, the system identifies and retrieves 6 key waste categories: concrete, metal, wood, plastic, mixed rubble, and hazardous materials. The goal is to replace hazardous manual sorting, reduce logistical costs of mixed waste transport, and achieve a 60% recycling rate.

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Huazhong University of Science and Technology

LTD China Construction Third Bureau First Engineer Co.

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Autonomous Robotic System for on-site Construction Waste Assessment and Separation in Wuhan - 1Pager

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