Artificial
Intelligence
The laboratory specializes in robotic systems, microcontrollers, and applications of artificial intelligence in industry. It focuses on creating virtual and physical prototypes for robotics and automation, developing specialized devices for neuromarketing, autonomous mobile robotic systems, drones, and intelligent systems.
Services provided
- Development of AI-based solutions in various domains;
- Creation of automated solutions using computer vision techniques;
- Implementation of intelligent systems, drones, and robotic systems for diverse applications;
- Prototyping with microcontrollers and microcomputers for robotics and automation purposes;
- Creation of virtual and physical prototypes using specialized CAD software, 3D printing technologies, and reverse engineering;
- Applications of CAD systems and 3D printing technologies across different industries;
- Development of custom experimental projects;
- Scientific research using specialized medical equipment;
- Neuromarketing studies and applications.
Activities
The laboratory aims, in collaboration with research organizations, industrial clusters, NGOs, networks, as well as governmental and educational institutions, to become a leading center for initiating, conducting, and supporting research in artificial intelligence, intelligent systems, robotics, ground and aerial drones, and CAD systems. It also contributes to the training, development, and support of highly qualified specialists in these key industrial, economic, and societal fields;
The target audience of the laboratory includes not only established professionals, partners, clients, and contractors who are direct users of the laboratory’s research outputs in these fields, but also a broad range of users without specialized knowledge of all ages – from children in primary school, through students, to professionals – who benefit from the laboratory’s activities in an educational or cognitive context.
Publications
“Approaches to Creating Colorful 3D-Printed Parts and Reliefs”, 14TH INTERNATIONAL SCIENTIFIC CONFERENCE TECHSYS 2025—ENGINEERING, TECHNOLOGIES AND SYSTEMS;
Zagorski, M., Miltchev, R., Dochev, B., Stoimenov, N.,
“Computer Systems for Design”, Intel Entrans, Sofia, 2024, p. 254, ISBN 978-619-7703-59-7.
Milchev R., Milchev, G.
“Development of a system for controlling access to sports facilities through facial recognition”, Youth Forum “SCIENCE, TECHNOLOGY, INNOVATION, BUSINESS” 2024 – autumn, November 21-22, 2024, Plovdiv;
Zagorski, M., Ivanov, K.,
“Development of a Conveyor Belt with a Computer Vision Module for Educational Purposes”, 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS);
Zagorski, M., Miltchev, R., Slavchev, N.,
“COMPUTER MODELING AND SIMULATION OF MECHANISMS USING FREE AND OPEN-SOURCE SOFTWARE”, Environment. Technology. Resources. Proceedings of the 15th International Scientific and Practical Conference. Vol. 3, 2024;
Zagorski, M., Miltchev, R., Semkov, M.,
Equipment
- EEG cap – Quik-Cap 128;
- EEG cap – Quik-Cap 64;
- EEG cap – Quik-Cap 40;
- Wireless EEG cap with electrodes and amplifier – Emotive EPOC EEG;
- Complete EEG monitoring system with receiver and signal amplifier, recording and visualization, at least 128 input channels – EEG System SynAmps2;
- Humanoid robot – NAO Evolution Humanoid Robot;
- Wheeled mobile platform robots – Dr. Robot Sputnik;
- Robotic arm/manipulator – Adept Cobra s350;
- Two programmable modular quadcopters (4-rotor drones) with easy hardware module replacement – QR X350PRO iLook and Turbo Ace MATRIX-i;
- Electronic armband for capturing hand gestures – Thalmic Myo;
- Professional infrared camera – AXIS Q1765-LE 4;
- Sensor glove – DG5 VHand data glove;
- Virtual reality headset – VR2200 head mounted display (KOSS UR-18);
- Augmented reality display/visor for head attachment – Epson Moverio BT-200;
- Motion capture camera/sensor – Kinectsensor V2;
- Equipment for recording electromyography (EMG) signals from human muscle activity to PC – Zero Wire EMG (BTS Free MG 300);
- Neural network chip – CogniMem CM1K;
- Programmable logic device (FPGA) – Raspberry Pi;
- Miniature robot – LEGO® MINDSTORMS® EV;
- Portable radio frequency analyzer with PC data output – SPECTRAN HF-2025E V3;
- Stationary RF analyzer with PC data output – DSA875 RigolDSA8C174100038;
- USB-controlled RF analyzer – SPECTRAN HF-60100 V4;
- Multifunctional robot – Baxter robot;
- Digital oscilloscope with multimeter, PC data logging, and input signal frequency analysis – InfiniiVision 6000;
- Function generator – Rigol DG5251;
- Digital oscilloscope – Siglent SDS1102CML;
- Digital oscilloscope – Siglent SDS1072CML;
- Quadruped autonomous robot – Unitree Go;
- 3D printer Bambu Lab X1C with AMS system for multi-color printing.
Management
Assoc. Prof. Dr. Eng. Radoslav Milchev
Scientific fields:
ICT, artificial intelligence, engineering sciences, virtual and augmented reality, communication protocols, networks and systems, intelligent systems, GIS.
Achievements:
Over 130 published articles and more than 10 successfully completed projects in the fields of ICT and engineering sciences.
