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3DLOOP

CAMERA-ROBOTIC SENSING FOR 3DCP

Project ID

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PROJECT BY

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PARTNERS​

YEAR

SITE

TYPE

TEAM​​​​

ROLE

SDU.CREATE, Led by Assoc. Prof. Dr. Roberto Naboni

(Project Link)

Hyperion Robotics, Weber Saint Gobain

2022-2023

Odense, South Denmark

Research Project

Luca Breseghello, Roberto Naboni, Daniele Florenzano

Researcher, Computational Designer

Project Description

Construction Robotics is a rapidly upcoming area of development in the field of automation. The building industry suffered historically from insufficient automation levels, which are explained by the difficulties related to automating material-intensive construction processes, the scale and complexity of the construction environment, and the level of customization needed for building production.
Extrusion-based 3D Concrete Printing (3DCP) is one of the leading development areas in architectural and construction robotics at present. Despite its great potential in revolutionizing the way we build sustainable architecture and providing a safer construction site, the robotic 3DCP process is still characterized by a limited automation level. This is because the high degree of complexity in handling cementitious materials still demands human interventions to manage changes in operational conditions, e.g. temperature and humidity. 
This project aims at rendering robot-based 3DCP autonomous and robust by 1) monitoring key aspects that impact the 3DCP process and 2) elaborating a concept for a robotic system capable of adjusting in real-time aspects such as the extrusion rate as well as quality and dimensional monitoring.

Monitoring Scenarios

The experimental activity developed has the goal of validating a monitoring approach for 3DCP in various geometrical scenarios. Different cases of variable complexity have been devised, although the analysis has been performed only on Case 1. 

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Baseline TEST Design
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PRINTING ACTIVITY

The printing experiment consists in the production of a sample of 8 layer of the baseline design geometry to collect information and test material defects.

SCANNING ROUTINE

After each layer, a scanning routine is performed to collect a high resolution point cloud at a each specific scanning point.

DATA COLLECTION AND ANALYSIS

After collecting the data, the point clouds are post processed and analysed to collect information of the layer geometrical properties (i.e. height, width and layer deviation).

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