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You can find here all the events that took place before 2014.
ROBIN is a user centered project which develops systems and services for the use of robots in an interconnected digital society. It comprises 5 sub-projects. ROBIN-Social develops integrated and configurable solutions for the personalization of assistive and social autonomous robots. ROBIN-Car develops computer vision methods devoted to autonomous driving and a prototype systems to be tested on an electric car. ROBIN-Context creates a support platform for the semantic representation and management of data that becomes context in scenarios of personalized robotic assistance and AADS. ROBIN-Dialog develops a set of scenarios for micro-worlds and the technology for the Romanian language processing to achieve situational dialogs in these micro-worlds. ROBIN-Cloud builds a support platform for collecting data coming from the sensors of robotic systems and IoT devices that offers Cloud Edge and Cloud Robotics computing.
The ROBIN project is financed by UEFISCDI “Complex Projects” programme, PNIII.
Duration: 2018-2020
NETIO Objectives: development of innovative products and services in the domain of IoT and Big Data, empowering innovation activities of companies in the domains of IoT and Big Data through knowledge transfer and common research activities with UPB, implication of UPB staff in all stages of technological transfer for IoT and Big Data based products and services.
Project co-financed by the European Fond for Regional Development in the framework of the Operational Programme for Competitiveness 2014-2020.
Duration: 2017-2020
CAMI is offering a fully integrated Ambient Assisted Living solution by offering services for health management, home management and wellbeing (including socialization, and reduced mobility support). CAMI builds an artificial intelligence ecosystem, which allows seamless integration of any number of ambient and wearable sensors with a mobile telepresence system endowed with multimodal interaction (touch, voice, person detection), including a telepresence robot. This will allow older adults to self-manage their daily life and prolong their involvement in the society while allowing their informal caregivers to continue working whilst caring for their loved ones.
The consortium comprises 8 partners from Romania, Sweden, Switzerland, Denmark, and Polland. AI-MAS is the consortium coordinator.
The CAMI project is founded by the EU Active and Assisted Living Programme (Call 2014 – “Care for the Future”).
Duration: 2015-2018
Nemodrive brings together a group of motivated researchers with the required resources and support to build a self-driving car that will be tested on the UPB campus streets. The prototype will be developed to tackle the particularities of campus and other local roads. In this context, some of the most recurring challenges of self-driving cars will be empirically put to test, in a small scale, un-controlled environment.
Nemodrive is founded on a desire that drives both its theoretical as well as empirical aspirations: to continuously drive interest and understanding of machine learning.
Duration: 2018-2020
The employability of IT graduates is a challenge in the context of a rapidly evolving environment featuring novel and unexpected ideas and technologies.
Our target group are young, local and international IT master students and future IT leaders who wish to benefit from the experience of researchers and industry specialists, during seminars in which industry and academia collaborate for a shared curriculum.
The consortium is formed of 8 partners from 4 European countries: 4 leading Universities and 4 Corporate partners.
The project will organize 4 seminars with international students.
The project is Co-funded by the Erasmus+ Programme of the European Union.
Duration: 2019-2022
The scope of the project is to create an integrated and easily configurable solution for customizing social and assistive robots, using artificial intelligence methods that can provide a cognitive and autonomous character to robots.
Subsidiary project: 1226/22.01.2018.
Duration: 2018-2020
The scope of the project is to monitor daily activities and to recognize possible critical and dangerous situations (falls of the elderly).
Subsidiary project: 1268/22.01.2018.
Duration: 2018-2020
-The Intelligent Agent for Recipe Recommendation Based on Visual Identification of Available Ingredients (IntAli) project has as objectives the development of a software agent capable of recommending recipes to users based on what ingredients they have available in their fridge, to research, propose and validate methods for image-based recognition of ingredients placed on shelves of a fridge. In addition, IntAli has as objectives to create semantic models of the knowledge in the project for information querying and extraction, to build recommender systems for recipes, to analyze user interaction and feedback, as well as to design and build a prototype smart-fridge which integrates the sub-systems proposed in the project.
Subsidiary Project: 20175/30.10.2019, part of NETIO P_40_270 53/05.09.2016.
Duration: 2019-2021
AI4GENDARED (Imbunătățirea Capacităților Funcționale ale aplicației GENDARED prin utilizarea Algoritmilor de Inteligență Artificială) aims to improve the Functional Capabilities of the GENDARED Application by using Artificial Intelligence Algorithms.
Duration: 2019-2021