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Romania
Citizenship:
Romania
Ph.D. degree award:
2009
Adrian
Burlacu
Dr.
Professor
-
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Researcher | Teaching staff | Scientific reviewer | Consultant | PhD supervisor
16
years
Web of Science ResearcherID:
C-3776-2011
Personal public profile link.
Curriculum Vitae (14/05/2024)
Expertise & keywords
Autonomous robotics
Visual servoing
Advanced kinematics
Assistive technology
Computer vision
Applied control
Algebraic specification
Lie algebras
Robot systems
Assistive technologies
Projects
Publications & Patents
Entrepreneurship
Reviewer section
Reslient Rapid ReconfiGurable pROdUction Process chains
Call name:
EC - Horizon Europe
Horizon-243183-101091869
2023
-
2026
Role in this project:
Key expert
Coordinating institution:
Institution
Project partners:
CENTRE TECHNIQUE INDUSTRIEL DE LA PLASTURGIE ET DES COMPOSITES (FR); ECOLE NATIONALE SUPERIEURE D'ARTS ET METIERS (FR); SYM VOULOI KAI PROIONTA LOGISMIKOU AE (GR); GLNMOLDS SA (PT); AUTOTECH ENGINEERING SL (ES); GORENJE ORODJARNA DOO VELENJE PARTIZANSKA 12 (SI); INNOVATION ENGINEERING SRL (IT); ASOCIACION DE INVESTIGACION METALURGICA DEL NOROESTE (ES); GLNPLAST SA (PT); MADE2FLOW GMBH (DE); FUNDACION ZARAGOZA LOGISTICS CENTER (ES); SOURCEBOOK GMBH (DE); EVROPAIKO INSTITOUTO TECHNOLOGIAS KAI KAINOTOMIAS VIOMICHANIKIS PARAGOGIS NOTIOANATOLIKIS EVROPIS MONOPROSOPI I.K.E. (GR); KATTY FASHION SRL (RO); FILL GESELLSCHAFT MBH (AT); UNIVERSIDADE DE COIMBRA (PT); FUNDINGBOX COMMUNITIES SL (ES); EMPHASIS DIGIWORLD AE (GR); FUNDINGBOX RESEARCH APS (DK); UNIVERSITATEA TEHNICA GHEORGHE ASACHI DIN IASI (RO); ELVALHALCOR ELLINIKI VIOMIHANIA HALKOU KAI ALOUMINIOU ANONYMOS ETAIREIA (GR); AVENIR VISION INDUSTRIE (FR); NETCOMPANY-INTRASOFT SA (LU); PANEPISTIMIO PATRON (GR); AMVALOR (FR)
Affiliation:
UNIVERSITATEA TEHNICA GHEORGHE ASACHI DIN IASI (RO)
Project website:
Abstract:
Read more
The development of an intelligent logistic system using autonomous omni-directional mobile robots
Call name:
P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2019-0731
2020
-
2022
Role in this project:
Coordinating institution:
SELF TRUST SRL
Project partners:
SELF TRUST SRL (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
http://www.rosylogistic.ro
Abstract:
The aim of the project is to increase the competitiveness of SELF TRUST SRL, by assimilating the research-development-innovation results of the Technical University "Gheorghe Asachi" in Iasi, in the field of mobile robots systems Integration into intralogistic systems. Through this project we develop a smart logistics system using autonomous omnidirectional mobile robots, interoperability between conveyor systems with transfer units to 90 degrees coordinated by a system of Warehouse Management (WMS) and autonomous omnidirectional platforms with a mobile conveyor, using leading technologies specific to the current Industrial Revolution 4.0. The starting point in this project is a four-wheel omnidirectional vehicle patented by the Technical University "Gheorghe Asachi" in Iaşi (patent number RO 128285 β1/2019) considered as TRL 4. Its maturation to the level TRL 6, will be done by integrating field information, from wireless sensors of temperature, pressure, humidity, displacement, for real-time data processing and analysis, by a dedicated platform, data transmitted via 4G/WiMAX technology. The maturity of the project up to the level of TRL 6 will be done by integrating a team of autonomous omnidirectional mobile robots (2 mobile robots) able to carry out various tasks by determining and tracking the optimal trajectories determined as solutions to multiple constraints satisfaction issues, using information obtained from the sensor system that equips both mobile robots and logistical space. The system prototype will be tested in a logistical framework where the tasks to be resolved come from the warehouse management system and interconnect with the fleet of mobile robots through a cloud solution.
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Natural, accessible and ergonomic audio-haptic sensory substitution for the visually impaired
Call name:
P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2019-0810
2020
-
2022
Role in this project:
Coordinating institution:
INFO WORLD S.R.L.
Project partners:
INFO WORLD S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
http://sovlite.eu/ro/pagina-principala/
Abstract:
SoV Lite will bring the final prototype of the Horizon 2020 Sound of Vision project close to the commercial product - a system that will help the blind dynamically perceive and navigate any interior or exterior environments, thus substantially increasing their mobility and quality of life.
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Innovative technologies for advanced recovery of waste materials from IT and telecommunication equipment
Call name:
P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0652
2018
-
2021
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA
Project partners:
UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); UNIVERSITATEA BABES BOLYAI (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO); UNIVERSITATEA 1 DECEMBRIE 1918 ALBA IULIA (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO); Institutul National de Cercetare-Dezvoltare pentru Chimie si Petrochimie - ICECHIM Bucuresti (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
https://tradeit.utcluj.ro/
Abstract:
Although in 2016, at global level, the quantity of WEEE was over 45Mt (increasing 3-5% yearly), the estimated recycling rate only reaches 15-20%. Out of the total WEEE quantity, IT and telecommunication equipment waste (WEITT) represents c.a.15%, while printed circuit board waste, albeit only 3-6% of the total DEIT waste, concentrates 40% of the recoverable metals. At international level, the usual industrial technologies are mainly based on physical-mechanical and pyro-metallurgic procedures, but require high energy consumption and generate toxic by-products. At national level, reported research on WEITT processing is limited to the laboratory, while industrial processing agents only collect DEIT for export.
The consortium, composed of the Technical and Babeș-Bolyai universities of Cluj-Napoca, "1 Decembrie 1918" of Alba Iulia, Technical "Gheorghe Asachi" of Iași, INDO-INOE 2000 Research Institute for Analytical Instrumentation subsidiary ICIA and the National Institute for Research & Development in Chemistry and Petrochemistry, will elaborate, test and validate a complex of installations and optimised technologies for the integral reclaiming of WEITT materials, based on the following principles: 1) minimal energy consumption and reduced quantities of secondary waste, with reduced environmental impact, 2) smart disassembling and separation (mechanical, electrical and electrochemical) in order to obtain new or recycled materials with high purity and high economical value, 3) valorification of resulted plastic materials through non-polluting chemical technologies and their reintroduction in the production process, 4) development of a platform for monitoring environmental impacts and for learning reclaiming technologies for DEIT material 5) transfer of the developed technologies to companies in the Romanian reclaiming and recycling industry.
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Navigation of cooperating mobile robots in complex applications
Call name:
P 1 - SP 1.1 - Proiecte de cercetare pentru stimularea tinerelor echipe independente
PN-III-P1-1.1-TE-2016-0737
2018
-
2020
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
http://www.mrca.ac.tuiasi.ro/
Abstract:
The project proposes the development of specification classes and planning methods for mobile robots, with the purpose of accomplishing complex tasks. We consider a team of mobile robots that should accomplish missions including motion specifications and requirements for performing actions in specific regions. Based on formal languages, we aim to establish subsets of specification classes that are expressive enough for integrating actions and motion tasks for usual requirements of a robotic team. The mission expresses a global task for the whole team, and we intend to develop and implement algorithms that yield motion and action sequences for each robot. The automatic strategies will employ optimization techniques and finite-state models for team evolution and for actions to be performed. An important project goal consists in validating the motion algorithms through real-time experiments. We intend to conduct experiments in both 2D and 3D environments, by using an available laboratory setup with wheeled mobile robots, and by setting up a framework for quadcopter robots. The research implementation considers a team with five postdoctoral researchers (including the project leader).
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Visual Based Perception and Prediction Algorithms for Motion Estimation of Intelligent Vehicles
Call name:
PN-III-P1-1.1-TE-2016-2392
2018
-
2019
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
Abstract:
The emerging role of machine vision in the motion planning of intelligent vehicles (such as automotive, mobile robots with wheels or UAVs) is one of the most discusses topics in multiple research areas (computer vision, robotics, artificial intelligence, communications, etc). Scene representation methods organize information from all sensors and data sources to build the interface between perception and planning. Stereo vision systems are among the most used for 3D reconstruction of the environment, one of the most important features for accuracy being the quality of the disparity map. The project’s general objective is to design sensorial systems, perception and prediction algorithms invariant to outdoor/indoor scenarios, for motion planning without constraints on the behavior of an intelligent vehicle.
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Intelligent system based on machine learning and computer vision for the optimization of the manufacturing process of porcelain
Call name:
P 2 - SP 2.1 - Transfer de cunoaștere la agentul economic „Bridge Grant”
PN-III-P2-2.1-BG-2016-0333
2016
-
2018
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA 1 DECEMBRIE 1918 ALBA IULIA
Project partners:
UNIVERSITATEA 1 DECEMBRIE 1918 ALBA IULIA (RO); IPEC SA (RO)
Affiliation:
UNIVERSITATEA 1 DECEMBRIE 1918 ALBA IULIA (RO)
Project website:
http://oeconomica.uab.ro/sites/sivap/
Abstract:
The proposal is designed as a knowledge transfer to an economic agent aiming to optimize the manufacturing process of porcelain. The economic agent is a company with Romanian capital, European leader in the porcelain industry which has over 100 industrial robots used in the manufacturing process of porcelain. At present, the company does not have an automated system for the identification, classification and remediation of defects, this process being executed by employees. The quality check of products and defect identification is performed visually and by touch. For economic reasons, the improvement of quality control system is required in order to reduce production costs, operation time spans and material resources. The project proposes an intelligent system based on machine learning and computer vision which will optimize and innovate the current production flow. The specific objectives of the project are: reducing the manufacturing time at each processing phase, optimizing the production efficiency by eliminating defective products, improving the monitoring and control system of the entire flow by adding new functionalities to the current computer vision system, and increasing the innovation capacity of the economic agent. A significant result will be the monitoring and quality control system implemented in real time and its integration into the company’s decision-making system. Defects will be identified and classified at every operational phase. The optimized system will be based on the robot-computer vision architecture and will include: (i) real-time high-speed processing of product images, and (ii) a global autonomous behaviour, context and task dependent self-learning that will be adaptive to the work environment.
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Natural sense of vision through acoustics and haptics
Call name:
Horizon 2020 Grant agreement no. 643636
-
Role in this project:
Key expert
Coordinating institution:
Háskóli Islands – University of Iceland
Project partners:
Affiliation:
Project website:
http://soundofvision.net/
Abstract:
Sound of Vision designed, implemented and validated an original non-invasive hardware and software system to assist visually impaired people by creating and conveying an auditory representation of the surrounding environment.
This representation is created, updated and delivered to a blind person continuously and in real time.
This system helps visually impaired people in any kind of environment (indoor/outdoor), without the need for predefined tags/sensors located in the surroundings.
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Commande prédictive coopérative des systèmes complexes. Modélisation et gestion d’énergie pour le bâtiment intelligent
Call name:
Brancusi (PHC) PNCDI II Grant no. 306/27.04.2009
2009
-
2011
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA DIN CRAIOVA
Project partners:
UNIVERSITATEA DIN CRAIOVA (); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (); Supelec, Universite Paris-Saclay ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
https://ac.tuiasi.ro/cercetare/proiecte/
Abstract:
Read more
Tehnici avansate bazate pe vederea artificială pentru conducerea roboților
Call name:
CNCSIS GR.33
2007
-
2009
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
https://ac.tuiasi.ro/cercetare/proiecte/
Abstract:
Read more
Image processing algorithms for object motion tracking
Call name:
CNCSIS-TD-2007-130
2007
-
2008
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
Abstract:
The project objectives are included in image
processing for advanced robot control research area. As
main goal of the project there will be developed,
implemented and tested techniques for detection and
tracking of point features. Two approaches will be
considered, one in spatial coordinates and the second
one in frequency space. The spatial approach will take
into account performances as non-scale variation and optical flow robustness. The frequency method will be
created using recent developments in image processing
with hypercomplex functions. As point features will be
extracted, methods for tracking them through image
sequences are needed. For this objective, performance
as motion reconstruction time is very important. The
results will be included in applications of visual
feedback control for manipulator robots.
Read more
FILE DESCRIPTION
DOCUMENT
List of research grants as project coordinator or partner team leader
Download (39.04 kb) 06/12/2019
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects
Download (8.49 kb) 06/12/2019
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