An article about replacement models in optimization made it among the one per cent of the most cited in the world
Having the "Highly Cited Paper" label next to your scientific article means great prestige in the scientific community.
InstituteofAutomationandComputerScience
The main objective of the Institute of Automation and Computer Science (IACS), FME, BUT is to advance research in automatization, digitization, artificial intelligence and the Industry 4.0 concept in general. This involves developing advanced methods in the field of technical diagnostics, machine vision, cyber-physical systems, digital twin and industrial robotics that align with the aforementioned Industry 4.0 concept. To verify research and development activities and ensure competitiveness, unique laboratories of cyber-physical systems, technical diagnostics, cybernetics and robotics were established within the institute.
In the field of Industry 4.0, including the subfields of artificial intelligence, digitization, robotics, and automation, priorities are focused on resolving complex tasks. The IACS primary focus is on fundamental research, which is subsequently transformed into applied research in collaboration with industrial partners. The institute engages in fundamental and applied research on the interconnection of artificial intelligence techniques, multidisciplinary modelling, optimization, advance sensing, digital twin and control of autonomous robotic systems, with a particular focus on the versatility, adaptability, and scalability necessary to accommodate wide range of industrial applications.
The primary objectives of academic staff are:
- the top fundamental and applied research and the transfer of knowledge to practise,
- to improve the field of education with more effective approaches to understanding key technologies within the Industry 4.0 paradigm.
One of the institute's most successful projects was the implementation of a unique solution for robotic handling of potentially infectious samples as part of the Czech Rise Up 2.0 program. The robotic workplace underwent rigorous testing over a period of more than two months in the laboratory of the Center of Molecular Biology and Gene Therapy, Department of Internal Medicine – Hematology and Oncology at the University Hospital Brno.
Main Current Projects
- MEBioSys - Mechanical engineering of biological and bio-inspired systems
- BAANG - BUILDING ACTIONS IN SMART AVIATION WITH ENVIRONMENTAL GAINS
- Benchmarking derivative-free global optimization methods
- Design and manufacturing of 4D metamaterials based on printed structures with embedded elements of smart materials
- SMART insulated rail joint
Main Results
- Verification and analysis of advanced tuneable nonlinear vibration energy harvester
- Development and experimental validation of self-powered wireless vibration sensor node using vibration energy harvester
- Recent advances and applications of surrogate models for finite element method computations: a review
- A critical problem in benchmarking and analysis of evolutionary computation methods
- Kinetic Electromagnetic Energy Harvester for Railway Applications-Development and Test with Wireless Sensor
Research Activities
- Advanced Technical Diagnostics and Predictive Maintenance
- Benchmarking Black-Box Optimization Methods
- Cybernetics and Intelligent Robotics
- Development of 4D Metamaterials
- Digitalization of Railway Infrastructure
- Machine vision
- Simulation, Modelling and Optimization of Multidisciplinary Systems
- Vibration Energy Harvesting Technologies for Aeronautic Applications
News from Institute
Robot-performed antigen test did well in Siemens Award
Transferring the principles of Industry 4.0 beyond the industry itself was one of the ideas of FME student Martin Juříček.
Kůdela demolishes myths about comparing evolutionary algorithms in his article published by Nature
An expert in optimization models and algorithms noticed a major problem a year ago when comparing and analyzing so-called evolutionary algorithms. And he found out why even seemingly correct…
Scientists to use 5G networks antennas to monitor pollutants in the air
Air pollution kills millions of people each year. According to recent estimates of the World Health Organization (WHO), for city dwellers around the globe, four-fifths live with air quality that…
The new generation of laboratory robot of the BUT successfully passes the test at the University Hospital of Brno
Take any test tube, register its barcode, unscrew the lid, take a sample and move it, throw off the tip... the automated solution for the initial handling with samples openTube2.
The robot from BUT will save the work of laboratory technicians. It could help with the COVID-19 samples at the University Hospital Brno