Robot

Engineering

Construction waste

Biology

Automation

Identification (biology)

Sorting

Simultaneous localization and mapping

Civil engineering

Computer science

Botany

Construction engineering

Waste management

Mechanical engineering

GRASP

Political science

Demolition waste

Object (grammar)

Mobile robot

Robotics

Artificial intelligence

Demolition

Software engineering

Programming language

Patrolling

Computer vision

Automation in Construction

As a large amount of waste generated from global construction activities, robots that can automatically recycle construction and demolition (C&D) waste have become efficient tools for conserving natural resources, but the complex environment and high diversity of waste on the construction site raise challenges for robot patrolling, object recognition, and grasping. This paper describes a robot for C&D waste recycling, achieving real-time navigation through Simultaneous Localization and Mapping (SLAM). Additionally, a deep learning method and a high-precision 3D object pickup strategy were adopted for the accurate identification and stable grasping of waste items. The recognition accuracy of various kinds of C&D waste was analyzed under different illumination and spatial density conditions. Based on this research, the automation level and the application scenario of the robot prototype would be further improved and broadened.

Robot for automatic waste sorting on construction sites