CARTIF Projects
AUTOLOG
Development of innovative technological solutions that optimize the logistics supply chain
Description
AUTOLOG aims to develop innovative technological solutions that optimize the logistics supply chain by integrating emerging technologies such as robotics, computer vision, artificial intelligence, blockchain, and Big Data. Through autonomous vehicles that navigate indoor and outdoor environments, multisensory systems, and integrated data platforms, AUTOLOG will enable more efficient, secure, and sustainable management of logistics operations, improving traceability, planning, and real-time decision-making.
Objectives
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- Develop a multisensory platform embedded in AGVs for intelligent data capture indoors and outdoors, including environmental conditions, road conditions, and operating parameters.
- Apply artificial intelligence models to predict pavement degradation and detect incidents in real time in intralogistics environments.
- Integrate artificial vision solutions into AGVs to improve navigation, environmental perception, and automated picking operations.
- Develop advanced 2D/3D vision technologies for goods identification, dimensional verification, and early detection of logistical problems in shipping areas.
- Apply natural language processing (NLP) models to enable logistics traceability through voice commands and semantic interpretation in field operations.
Actions
- Design and development of the embedded multisensory system, including sensor selection, data fusion algorithms, and rules for selective information transmission to the central server.
- Training and validation of AI-based predictive models for road surface degradation, anomaly detection, and automatic incident classification.
- Development of embedded computer vision algorithms, including object detection, position estimation, and AGV navigation support.
- Implementation of 2D/3D vision technologies, integrating volume reconstruction, pallet detection, dimensional measurement, and load verification.
- Development of a natural language interpretation module, adapted to logistics operators and noisy environments, to record incidents and traceability using voice commands.
Expected Results
- Functional prototype of the embedded multisensory system, operational in AGVs and capable of recording useful data for logistics analysis.
- Validated AI models for predicting road surface degradation, with the ability to anticipate maintenance and reduce incidents.
- Vision system embedded in AGVs, capable of detecting obstacles, interpreting the environment, and assisting in navigation and picking tasks.
- 2D/3D vision solutions integrated into shipping areas, enabling automatic identification of goods, detection of anomalies, and volumetric measurement.
- Operational NLP module for traceability, capable of receiving voice commands, extracting intent, and recording logistics information in real time.
Partners
CDTI Science and Innovation Missions
MIG-20241144
Total Budget: 2,218,047€
CARTIF Budget: 389,998.70€
Duration: 01/09/2024 – 31/12/2025
Responsible
Roberto Medina Aparicio
División de Sistemas Industriales y Digitales
Networking
Industrial Solutions projects:
Incorporation of new equipment and processes to improve the advance digital manufacturing laboratory
Acquisition of advanced technological elements to enhance rapid prototyping services, as well as to support specific developments in the challenging processes of creating objects that are not available on the market or are costly to produce in limited quantities.
LIXIV-IA
LIXIV-IA proposes the development of solutions based on artificial intelligence (AI) and big data for the optimisation of the operation of autonomous containerised plants.
HUMAIN
HUMAIN focuses on industrial research and the creation of synergies in two use cases of complex production processes: Vertical enabling technologies and boosting these technologies by using AI, IIoT and machine vision.
STARCONNEXION
StarConnexion aims to lay the scientific and technological foundations for the application of Artificial Intelligence in quality management in long steel mills based on all possible variables that affect the final quality of the product.
Damperdoor
DAMPERDOOR looks to develop a competitive system and of high benefits for sliding doors in furniture sector. These features aim for a self-controlled closure, independent of the excessive force that a user may bring to the closing action, thus avoiding shocks and with the ability to complete the travel to a full and accurate closure.
5R
The 5R Network, Cervera network in Robotic technologies for intelligent manufacturing, has as its mission to establish a collaborative network, equipped with the necessary technology, tools and infrastructures to act as a driving force for the development and introduction of new robotic technologies in the industrial fabric.
REVAMP
The main objective is to develop, adapt and apply new technologies to improve the efficiency in the use of raw materials and energy of processes that take place on metallurgy industries.
AGROVIS
“Intelligent Visual Computing for products/processes in the agri-food sector” is an industrial research project framed in the field of computer vision (digital enabler of Industry 4.0) associated with the agrifood sector.
Intrusión-G4
The Intrusion-G4 project seeks new technologies to overcome the challenge of increasing the degree of security of the intrusion detection sensors currently available on the market.
TRREX
The TRREX project (Extended Range Robot Enabling Technologies for the Flexible Factory) investigates and develops technologies that contribute to the deployment of mobile industrial robots for the factories of the future. These systems will increase the flexibility of the plants and allow the optimization of industrial processes, improving their productivity.
NUMASTA
NUMASTA allows the development of a new generation of FRP sandwich panels for its application in the wastewater treatment sector. The distinguishing characteristic is presented in its core, based on a polyurethane foam, manufactured using formulations designed “à la carte” through a manufacturing process in a single stage where the curing process of the leathers and the foaming of the core take place in a synchronous
I-visart
i-Visart, “New artificial vision methodologies for the visual inspection of highly reflective and textured surfaces”.
It is an industrial research project framed in the field of computer vision (digital enabler of industry 4.0) associated with the industrial sector.
HABITAT-RA
CARTIF, has designed and developed a new module based on AR for smart glasses based on the recognition of QR markers to launch the experiences of AR, particularized for three technological pilots: Risk identification, Management of machine maintenance and Machine status monitoring
PUMAN
A new intelligent system has been developed for manual assembly positions in the industry. This system aims to minimize assembly errors by operators by validating operations, providing information and guiding the operator in real time through a man-machine interface based on Augmented Reality
DISCOBOLO
Nowadays in hot and cold lamination of “long” elements only the detection of punctual defects are made, not longitudinal defects. Therefore, the technological leap and the differentiating key of future products is to detect both, punctual and longitudinal defects on the production of flat steel in the rolling process, either the cold or hot process.
MARCA
MARCA provides the maintenance operator with tools that facilitate access to content, communications and technologies necessary for the guidance, support and registration of maintenance work. It is based on technologies of augmented reality, mobility and communication, as well as a knowledge base for incident management.
INCEPTION
INCEPTION develops new methods and tools for automated 3D modelling and analysis of European cultural assets proposing advancements on hardware and software, as well as new approaches for Cultural Heritage 3D data inclusive access and exploitation by means of the so called INCEPTION-Platform.
MODINTECO
The aim of MODINTECO project is to develop prototypes of Automatic Tool Changers for milling machines, modular and adaptable, intelligent and autonomous, universal..
CALYPSO
The purpose of the CALYPSO project is that the inspection process can be enriched by automatic pattern recognition techniques.