SUSTAINABLE BUILDING OF THE FUTURE: 3D BIM PRINTING, DIGITAL TWINS, ARTIFICIAL INTELLIGENCE AND OTHER ENABLING TECHNOLOGIES FOR ENERGY EFFICIENCY AND ENVIRONMENTAL IMPACT (COSOSFU)

  • Reference: INNEST/2023/13
  • Principal investigator: Vicente Morell
  • Research Centers: University of Alicante, AIJU, IT3D (COSMOS)
  • Duration: April 1st, 2023 – December 31th, 2024
  • Financial Entity: Regional Ministry of Innovation, Universities, Science and Digital Society - GV
  • Funding: Total - 580.000€, UA - 140.000 €

The COSOSFU project focuses on addressing the growing demand for efficient and affordable housing, exacerbated by population growth and insufficient housing supply, especially in urban areas such as New York, Madrid and Dublin. The primary objective is to create a more efficient, sustainable and cost-effective building construction process through 3D printing. It seeks to integrate advanced technologies such as artificial intelligence, computer vision, neural networks, augmented reality and geo-positioning, together with digital twins and BIM (Building Information Modeling).

Some facts in Numbers

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The project incorporates several key technical innovations and developments:

  • Optimised Materials Development: aims to create customised building materials for 3D printing of concrete, improving its performance, strength and durability.
  • BIM Architectural Modelling: Integration of various building systems and subsystems into a three-dimensional BIM model, which facilitates accurate planning and visualisation prior to 3D printing. This can reduce errors and increase construction efficiency.
  • Artificial Intelligence and Digital Twins: Implementation of artificial intelligence for real-time control and monitoring of 3D printing, as well as the use of digital twins for modelling and tracking of built structures.
  • Augmented Reality and Geopositioning: Use of these technologies to improve accuracy in the construction process, enabling better decision making and optimisation of the use of resources.
  • Data Analysis and Simulation: Integration of analysis tools to gather information on the construction and materials used, and to generate reports and statistics that improve the efficiency and sustainability of the construction process.
[1]

KIMHu: A Kinematic, Imaging and electroMyography dataset for Human muscular manipulability index prediction
Hernández, O. G.; Lopez-Castellanos, J. M.; Jara, C. A.; Garcia, G. J.; Ubeda, A.; Morell, V.; Gomez-Donoso, F. (2023) Scientific Data.

Human Robotics Group - University of Alicante

Design and Control of Robots

Design and Control

of Robots

Advanced mechanical design of robotic devices and kinematic - dynamic control performance

Design and Control of Robots

Humanoid

Robots

Control algorithms for humanoid robots to perform collaborative visual and manipulative tasks

Medical Robotics

Medical

Robotics

Development of robotic solutions for assistance and rehabilitation to help physically impaired people

Design and Control of Robots

Space

Robotics

Visual servo control of satellites and robotic platforms located in the space


HURO research lines are focused in the benefit of humans and environmental impact, developing solutions for human-robot interaction and services, for helping disabled people and for spacecraft control applications.

Contact us

  • Human Robotics
    UA Polytechnic School 3
    Physics, Systems Engineering and Signal Theory Department
    University of Alicante
    Ctra San Vicente del Raspeig s/n
    San vicente del Raspeig
    03690 Alicante, Spain.

  • (+34) 965 903 400 Ext. 1094

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