Projects

Introduction

One of the cornerstones of the development of autonomous vehicles nowadays increasingly focused on research is that the vehicle control system is able to plan the path of the vehicle taking into account the static and dynamic objects of the environment. Environmental sensing is based on sensors based on a variety of principles, such as ultrasound, radar, lidar, or machine vision based camera systems.

With new hardware and artificial intelligence against skin cancer

PREdictor for HUman-RObot COllaboration (PREHUROCO) utilizes interactive technologies in a new innovative way to create a cobot independent pre-collision approach for reducing these cumulative delays. PREHUROCO technology creates a shared virtual reality workspace over the Internet/Intranet for humans and robots. The human operator will be digitally immersed into the real-time digital twin of the manufacturing cell by XR visualization and/or haptic feedback.

The HydroCobotics H2020 cascade consortium is coordinated by industrial robotics company Hepenix kft., while hydroponics company Green Drops Farm kft. is also a member. Within ELKH SZTAKI, the project is coordinated by Research Laboratory on Engineering & Management Intelligence research fellow Imre Paniti. The research and development project starts on the 1st of January, 2021 and presumably concludes on the 30th of September, 2021.

In the fight against COVID-19, manufacturing and distributing vital medical equipment became a major challenge. Unforeseen spikes in demand for essential medical supplies have been causing a greater urgency for supply chain optimisation and for deploying innovative approaches to scale up flexible and sustainable production methods.

Knowledge graphs have become the most important tools of sharing and connecting research or industry information and contacts.  These graphs enable, in a flexible way, the access, use and publication of data as a distributed system.

The DIGITbrain project aims to enable customised industrial products and to facilitate cost-effective distributed and localised production for manufacturing SMEs, by means of leveraging edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and by means of augmenting the concept of digital twin with a memorising capacity towards a) recording the provenance and boosting the cognition of the industrial product over its full lifecycle, and b) empowering the network of DIHs to implement the smart business model "Manufacturing as a Service".

The goal of the project is to establish a Hungarian research data repository supporting the COVID-19 pandemic related research initiatives.  The research data repository serves as a data store and repository solution both for international and national uses, and provides a definite (peer-to-peer) controlled reliable data sharing platform.

The system builds on the secure data storage and well defined access rights existing in the MTA Cloud services, which is jointly maintained by SZTAKI and Wigner research institutes. 

The DigiPrime H2020 consortium groups 8 research centers and 25 companies of 36 European countries that plays major role in the digitization of circular economy. SZTAKI joins in with AI and Digital Twin solutions, among other technical and scientific expertise.

NEANIAS will promote Open Science practices and play active role in the materialization of the EOSC ecosystem by efficiently engaging large scientific and professional communities; actively contributing to the technological, procedural, strategic and business development of EOSC.