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Department of Automation

The Department of Automation was established after merging the departments of Process Management and Control Technologies. Currently, the Department employs 21 teachers focusing on the following areas of research: automation and control, robotics, process modelling and optimization, intelligent control systems, biotechnological process desing, optimization and management.

Studies

Lecturers of the department coordinate the bachelor’s degree study programs of Automation and Control, Robotics and the master’s degree study program in Control Technology.

More:

Research

Scientific areas:

T 001, T 007.

Research areas:

1) Biotechnological processes. The main works are related to the application of advanced modeling, optimization, and control methods, and numerical intelligence algorithms in biotechnological processes.

-> Research group “Control and optimization of complex processes”

2) Robotics/Image processing /Computer vision. The research is designed to create a human-assisted robotic system capable of autonomously sensing 3D space and recognizing human gestures (commands) using stereovision and numerical intelligence algorithms. Such systems are designed to assist people in the most natural way – by interpreting gesture or voice commands. The robot’s 3D scanning system is designed to feel the surrounding space and allow it to move without hitting existing objects. Research is also underway to monitor eye movements.

-> Research group “Smart automatic control systems and robotics”

Experiments and research are carried out in robotics, automatic control, transport automation, industrial automation, supervisory control and management systems, performance systems, controllers, electric actuators, electrical drive automation, intelligent control system elements, biotechnological processes modelling and control, and industrial process control laboratories.

Contacts

Department of Automation

Elvyra Grigaliūnienė
Akademinė asistentė

El. paštas:  elvyra.grigaliuniene@ktu.ltl

 

The most important scientific achievements 2020-2022

Science projects

Science projects

National:

  • MITA technological development project “Spiral freezer with intelligence function and development of new refrigeration recipes”, 2021-2022, dr. R. Urniežius;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized”, project “Development and application of soft sensor system for state estimation of biotechnological processes”, 2020–2023, dr. R. Urniežius;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. Nr. 01.2.1-LVPA-K-856 “Experiment”, project “Development of the healthy aging solution”, 2020–2023, dr. J. Repšytė, dr. D. Jegelevičius;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. Nr. 01.2.1-LVPA-K-856 “Experiment”, project “Development of an industrial robotic system adapted to place products on a moving conveyor line”, 2020–2022, dr. V. Raudonis;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. 01.2.2-MITA-K-702 “Promoting the Commercialisation and Internationalisation of R&D”, project “Substrate continuous dosing device for programming control of bioprocesses”, 2020–2022, dr. V. Baranauskas;
  • MITA technological development project “Multilevel Artificial Intelligent Based Prototype Inverter of Wind-Solar Hybrid System”, 2019–2020, dr. R. Urniežius;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. J05-LVPA-K “Intellect. Joint Science-Business Projects”, project “Intelligent control system platform for recombinant protein synthesis processes”, 2018–2021, dr. R. Urniežius;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. J05-LVPA-K “Intellect. Joint Science-Business Projects”, project “Development of industrial robot systems for small-scale furniture production”, 2018–2020, dr. V. Raudonis;
  • 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized”, project “Development and Investigation of Adaptive Control Algorithms and Systems for Biotechnological Processes”, 2017–2021, dr. V. Galvanauskas.

Institutional:

  • KTU Research and Innovation Fund project „Development of a System for the Detection of Visual Defects in the Surfaces of Furniture Parts“, 2022–2022, dr. A. Lipnickas.

Industry-related projects

Industry-related projects

  • SV9-4228, “Research and development of computer vision methods for automatic visual assessment of the whole human body”, 2021-2022, dr. V. Raudonis;
  • SV9-1264, “Development and research of an effective management system for the management of feeding solutions for biotechnological processes”, 2017-2020,  dr. R. Urniežius.

Significant publications

Significant publications

Berzins, Kristaps; Muiznieks, Reinis; Baumanis, Matiss R.; Strazdina, Inese; Shvirksts, Karlis; Prikule, Santa; Galvanauskas, Vytautas; Pleissner, Daniel; Pentjuss, Agris; Grube, Mara; Kalnenieks, Uldis; Stalidzans, Egils. Kinetic and stoichiometric modeling-based analysis of do-cosahexaenoic acid (DHA) production potential by C.cohnii from glycerol, glucose and ethanol // Marine drugs. Basel : MDPI. ISSN 1660-3397. 2022, vol. 20, iss. 2, art. no. 115, p. 1-18. DOI: 10.3390/md20020115. [Science Citation Index Expanded (Web of Science); Scopus; MEDLINE] [IF: 6,085; AIF: 4,681; IF/AIF: 1,299; Q1 (2021, InCites JCR SCIE)] [Field of research: T 007] [Contribution: 0,042]
Paulauskaite-Taraseviciene, Agne; Raudonis, Vidas; Sutiene, Kristina. Forecasting municipal solid waste in Lithuania by incorporating socioeconomic and geographical factors // Waste management. Oxford : Elsevier. ISSN 0956-053X. eISSN 1879-2456. 2022, vol. 140, p. 31-39. DOI: 10.1016/j.wasman.2022.01.004. [Science Citation Index Expanded (Web of Science); Scopus; MEDLINE] [IF: 8,816; AIF: 8,353; IF/AIF: 1,055; Q1 (2021, InCites JCR SCIE)] [Field of research: N 001, T 001, N 009] [Contribution: 0,333]
Bolmanis, Emils; Grigs, Oskars; Kazaks, Andris; Galvanauskas, Vytautas. High-level production of recombinant HBcAg virus-like particles in a mathematically modelled P. pastoris GS115 Mut+ bioreactor process under controlled residual methanol concentration // Bioprocess and biosystems engineering. New York : Springer. ISSN 1615-7591. eISSN 1615-7605. 2022, vol. 45, iss. 9, p. 1447-1463. DOI: 10.1007/s00449-022-02754-4. [Science Citation Index Expanded (Web of Science); Scopus; MEDLINE] [IF: 3,434; AIF: 6,269; IF/AIF: 0,547; Q2 (2021, InCites JCR SCIE)] [Field of research: T 007] [Contribution: 0,250]
Petrauskas, Gytis; Svinkunas, Gytis. Application of single-phase supply AC-DC-AC VFD for power factor improvement in LED lighting devices loaded power distribution lines // Applied sciences. Basel : MDPI. ISSN 2076-3417. 2022, vol. 12, iss. 12, art. no. 5955, p. 1-24. DOI: 10.3390/app12125955. [Science Citation Index Expanded (Web of Science); Scopus; Dimensions] [IF: 2,838; AIF: 5,795; IF/AIF: 0,489; Q2 (2021, InCites JCR SCIE)] [Field of research: T 001] [Contribution: 1,000]
Raudonis, Vidas; Paulauskaite-Taraseviciene, Agne; Eidimtas, Linas. ANN hybrid model for forecasting landfill waste potential in Lithuania // Sustainability. Basel : MDPI. ISSN 2071-1050. 2022, vol. 14, iss. 7, art. no. 4122, p. 1-16. DOI: 10.3390/su14074122. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,889; AIF: 6,732; IF/AIF: 0,577; Q2 (2021, InCites JCR SCIE)] [Field of research: T 001, N 009] [Contribution: 0,450]
Vijeikis, Romas; Raudonis, Vidas; Dervinis, Gintaras. Efficient violence detection in surveillance // Sensors. Basel : MDPI. ISSN 1424-8220. 2022, vol. 22, iss. 6, art. no. 2216, p. 1-15. DOI: 10.3390/s22062216. [Science Citation Index Expanded (Web of Science); Scopus; MEDLINE] [IF: 3,847; AIF: 4,274; IF/AIF: 0,900; Q2 (2021, InCites JCR SCIE)] [Field of research: T 001] [Contribution: 1,000]
Baranauskas, Virginijus; Jakas, Žydrūnas; Šarkauskas, Kastytis Kiprijonas; Bartkevičius, Stanislovas Kęstutis; Dervinis, Gintaras; Dervinienė, Alma; Balaševičius, Leonas; Raudonis, Vidas; Urniežius, Renaldas; Repšytė, Jolanta. Mobile robots’ collision prediction based on virtual cocoons // Intelligent automation and soft computing. San Antonio, TX : Tech science press. ISSN 1079-8587. eISSN 2326-005X. 2022, vol. 32, iss. 3, p. 1343-1356. DOI: 10.32604/iasc.2022.022288. [Science Citation Index Expanded (Web of Science); Scopus] [IF: 3,401; AIF: 5,530; IF/AIF: 0,615; Q2 (2021, InCites JCR SCIE)] [Field of research: T 007, T 001] [Contribution: 1,000]
Galvanauskas, Vytautas (inv.); Simutis, Rimvydas (inv.); Levišauskas, Donatas (inv.); Urniežius, Renaldas (inv.); Vaitkus, Vygandas (inv.); Tekorius, Tomas (inv.); Butkus, Mantas (inv.); Survyla, Arnas (inv.). Maitinimo profilių, skirtų valdyti pusiau-periodinius rekombinantinių E. coli kultivavimo procesus, formavimo ir adaptavimo būdas (EN: Method of formation and adaptation of feeding profiles for managing semi-periodic cultivation processes of recombinant E. coli) / inventors: V. Galvanauskas, R. Simutis, D. Levišauskas, R. Urniežius, V. Vaitkus, T. Tekorius, M. Butkus, A. Survyla; savininkas: Kaunas University of Technology. LT 6861 B. 2021-11-10. [The State Patent Bureau of the Republic of Lithuania; Espacenet] [Field of research: T 001] [Contribution: 1,000]
Survyla, Arnas; Levisauskas, Donatas; Urniezius, Renaldas; Simutis, Rimvydas. An oxygen-uptake-rate-based estimator of the specific growth rate in Escherichia coli BL21 strains cultivation processes // Computational and structural biotechnology journal. Amsterdam : Elsevier. ISSN 2001-0370. 2021, vol. 19, p. 5856-5863. DOI: 10.1016/j.csbj.2021.10.015. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 7,271; AIF: 5,817; IF/AIF: 1,249; Q1 (2020, InCites JCR SCIE)] [CiteScore: 5,10; SNIP: 1,897; SJR: 1,908; Q1 (2020, Scopus Sources)] [Field of research: T 007, T 001] [Contribution: 1,000]
Grigs, Oskars; Bolmanis, Emils; Galvanauskas, Vytautas. Application of in-situ and soft-sensors for estimation of recombinant P. pastoris GS115 biomass concentration: a case analysis of HBcAg (Mut+) and HBsAg (MutS) production processes under varying conditions // Sensors. Basel : MDPI. ISSN 1424-8220. 2021, vol. 21, iss. 4, art. no. 1268, p. 1-35. DOI: 10.3390/s21041268. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,576; AIF: 3,906; IF/AIF: 0,915; Q1 (2020, InCites JCR SCIE)] [CiteScore: 5,80; SNIP: 1,555; SJR: 0,636; Q1 (2020, Scopus Sources)] [Field of research: T 007, T 001] [Contribution: 0,333]
Augustauskas, Rytis; Lipnickas, Arūnas; Surgailis, Tadas. Segmentation of drilled holes in texture wooden furniture panels using deep neural network // Sensors. Basel : MDPI. ISSN 1424-8220. 2021, vol. 21, iss. 11, art. no. 3633, p. 1-26. DOI: 10.3390/s21113633. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,576; AIF: 3,906; IF/AIF: 0,915; Q1 (2020, InCites JCR SCIE)] [CiteScore: 5,80; SNIP: 1,555; SJR: 0,636; Q1 (2020, Scopus Sources)] [Field of research: T 007, T 001] [Contribution: 0,667]
Raudonis, Vidas; Paulauskaite-Taraseviciene, Agne; Sutiene, Kristina. Fast multi-focus fusion based on deep learning for early-stage embryo image enhancement // Sensors. Basel : MDPI. ISSN 1424-8220. 2021, vol. 21, iss. 3, art. no. 863, p. 1-15. DOI: 10.3390/s21030863. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,576; AIF: 3,906; IF/AIF: 0,915; Q1 (2020, InCites JCR SCIE)] [CiteScore: 5,80; SNIP: 1,555; SJR: 0,636; Q1 (2020, Scopus Sources)] [Field of Research: T 007, N 001, N 009] [Contribution: 0,334]
Urniezius, Renaldas; Kemesis, Benas; Simutis, Rimvydas. Bridging offline functional model carrying aging-specific growth rate information and recombinant protein expression: entropic extension of Akaike information criterion // Entropy. Basel : MDPI. ISSN 1099-4300. 2021, vol. 23, iss. 8, art. no. 1057, p. 1-14. DOI: 10.3390/e23081057. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 2,524; AIF: 3,837; IF/AIF: 0,657; Q2 (2020, InCites JCR SCIE)] [CiteScore: 4,00; SNIP: 1,059; SJR: 0,468; Q1 (2020, Scopus Sources)] [Field of research: T 007, T 001] [Contribution: 1,000]
Matukaitis, Mindaugas; Urniezius, Renaldas; Masaitis, Deividas; Zlatkus, Lukas; Kemesis, Benas; Dervinis, Gintaras. Synchronized motion profiles for inverse-dynamics-based online control of three inextensible segments of trunk-type robot actuators // Applied sciences. Basel : MDPI. eISSN 2076-3417. 2021, vol. 11, iss. 7, art. no. 2946, p. 1-28. DOI: 10.3390/app11072946. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 2,679; AIF: 5,354; IF/AIF: 0,500; Q2 (2020, InCites JCR SCIE)] [CiteScore: 3,00; SNIP: 1,068; SJR: 0,435; Q2 (2020, Scopus Sources)] [Field of research: T 001] [Contribution: 0,751]
Valiuškaitė, Viktorija; Raudonis, Vidas; Maskeliūnas, Rytis; Damaševičius, Robertas; Krilavičius, Tomas. Deep learning based evaluation of spermatozoid motility for artificial insemination // Sensors. Basel : MDPI. ISSN 1424-8220. 2021, vol. 21, iss. 1, art. no. 72, p. 1-14. DOI: 10.3390/s21010072. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,576; AIF: 3,906; IF/AIF: 0,915; Q1 (2020, InCites JCR SCIE)] [CiteScore: 5,80; SNIP: 1,555; SJR: 0,636; Q1 (2020, Scopus Sources)] [Field of research: T 001, T 007] [Contribution: 0,400]
Damaševičius, Robertas; Maskeliūnas, Rytis; Narvydas, Gintautas; Narbutaitė, Rūta; Połap, Dawid; Woźniak, Marcin. Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory // Journal of ambient intelligence and humanized computing. Berlin : Springer. ISSN 1868- 5137. eISSN 1868-5145. 2020, vol. 11, p. 6223-6234. DOI: 10.1007/s12652-020-02605-8. [Science Citation Index Expanded (Web of Science); Scopus] [IF: 7,104; AIF: 4,143; IF/AIF: 1,714; Q1 (2020, InCites JCR SCIE)] [Field of research: M 002, T 007] [Contribution: 0,166]
Augustauskas, Rytis; Lipnickas, Arūnas. Improved pixel-level pavement-defect segmentation using a deep autoencoder // Sensors. Basel : MDPI. ISSN 1424-8220. 2020, vol. 20, iss. 9, art. no. 2557, p. 1-21. DOI: 10.3390/s20092557. [Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 3,576; AIF: 3,912; IF/AIF: 0,914; Q1 (2020, InCites JCR SCIE)] [Field of research: T 007] [Contribution: 1,000]
Žemgulys, Julius; Raudonis, Vidas; Maskeliūnas, Rytis; Damaševičius, Robertas. Recognition of basketball referee signals from real-time videos // Journal of ambient intelligence and humanized computing. Berlin : Springer. ISSN 1868-5137. eISSN 1868-5145. 2020, vol. 11, iss. 3, p. 979-991. DOI: 10.1007/s12652- 019-01209-1. [Science Citation Index Expanded (Web of Science); Scopus] [IF: 7,104; AIF: 4,143; IF/AIF: 1,714; Q1 (2020, InCites JCR SCIE)] [Field of research: T 007] [Contribution: 0,500]
Trzcionka, Agata; Narbutaite, Ruta; Pranckeviciene, Alma; Maskeliūnas, Rytis; Damaševičius, Robertas; Narvydas, Gintautas; Połap, Dawid; Mocny-Pachońska, Katarzyna; Wozniak, Marcin; Tanasiewicz, Marta. In vitro analysis of quality of dental adhesive bond systems applied in various conditions // Coatings. Basel : MDPI. ISSN 2079-6412. 2020, vol. 10, iss. 9, art. no. 891, p. 1-10. DOI: 10.3390/COATINGS10090891.[Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 2,881; AIF: 5,285; IF/AIF: 0,545; Q2 (2020, InCites JCR SCIE)] [Field of research: M 002, T 007] [Contribution: 0,100]
Butkus, Mantas; Repšytė, Jolanta; Galvanauskas, Vytautas. Fuzzy logic-based adaptive control of specific growth rate in fed-batch biotechnological processes. A simulation study // Applied sciences. Basel : MDPI. ISSN 2076-3417. 2020, vol. 10, iss. 19, art. no. 6818, p. 1-12. DOI: 10.3390/app10196818.[Science Citation Index Expanded (Web of Science); Scopus; DOAJ] [IF: 2,679; AIF: 5,353; IF/AIF: 0,500; Q2 (2020, InCites JCR SCIE)] [Field of research: T 001, T 007] [Contribution: 1,000]
 

Structure

Assoc Prof Dr Gintaras Dervinis

Head of Department

Studentų g. 48-320, Kaunas
phone: +370 (37) 300 290
email gintaras.dervinis@ktu.lt

Professors

Profesoriai

Vardas Pavardė El. paštas
Vytautas Galvanauskas vytautas.galvanauskas@ktu.lt
Donatas Levišauskas donatas.levisauskas@ktu.lt
 Rimvydas Simutis  rimvydas.simutis@ktu.lt@ktu.lt

Associate Professors

Docentai

Vardas Pavardė El. paštas
Leonas Balaševičius leonas.balasevicius@ktu.lt
Virginijus Baranauskas virginijus.baranauskas@ktu.lt
Kęstutis Brazauskas kestutis.brazauskas@ktu.lt
Vytautas Gargasas vytautas.gargasas@ktu.lt
Andrius Knyš andrius.knys@ktu.lt
Arūnas Lipnickas arunas.lipnickas@ktu.lt
Kastytis Ratkevičius kastytis.ratkevicius@ktu.lt
Vidas Raudonis vidas.raudonis@ktu.lt
Tomas Tekorius tomas.tekorius@ktu.lt
Renaldas Urniežius renaldas.urniezius@ktu.lt
Vygandas Vaitkus vygandas.vaitkus@ktu.lt

Lecturers

Lektoriai

Vardas Pavardė El. paštas
Darius Ezerskis darezer@gmail.com
Kęstas Rimkus kestas.rimkus@ktu.lt
Gintautas Narvydas gintautas.narvydas@ktu.lt
Jolanta Repšytė jolanta.repsyte@ktu.lt
Gytis Petrauskas gytis.petraukas@ktu.lt

Centre of Laboratories (FEEE)

Laboratorijų centras (FEEE)

Vardas Pavardė Padėtis El. paštas
Bražėnas Juozas Technikas juozas.brazenas@ktu.lt
Motiejūnas Vitas Technikas vitas.motiejunas@ktu.lt
Tūbelis Faustas Laboratorijų biuro vadovas faustas.tubelis@ktu.lt
Černys Petras Algimantas Vyresnysis laborantas petras.cernys@ktu.lt

Other staff

Kiti darbuotojai

Vardas Pavardė Padėtis
Dimšienė Ieva Projekto laborantė
Survyla Arnas Projekto laborantė
Survyla Arnas Projekto laborantė
 

Doctoral students