+7 (843) 206-52-33 (ext. 35-22)
+7 (843) 206-52-33 (ext. 35-22)
Do you speak Russian language?
ALL of our subjects are taught in Russian. If you want to join our program, but your language is not good enough to successfully pass the entrance examination, attend classes and write the final thesis, we recommend you to take a preparatory Russian language course first.
Pay attention that entrance examinations are conducted in Russian language
Follow the steps and attach your documents
Go to the master's program application instruction page
Scroll down to learn more about our Intelligent Robotics program
Master program
«Intelligent Robotics»
«Intelligent Robotics»
Intelligent Robotics program teaches you the required skills for 49 future professions from «The Atlas of Emerging Jobs»
09.04.04. Software Engineering (Robotics)
Prospective students do not need prior experience in robotics
The program grants two professions simultaneously:
robotics and software engineering
The program grants two professions simultaneously:
robotics and software engineering
Program duration
2 years
Entrance examination
Written examination (conducted in Russian language)
Tuition fee
682 440 roubles for two years of studying (2026)
Places
1 paid place for foreign students
What makes our program unique?
Education quality
• Teaching by the best Russian and foreign instructors
• Joint projects with foreign universities (in English language)
• Joint projects with foreign universities (in English language)
Applied tasks
• Applied robotics projects under experts' guidance
• Participation in Russian and international conferences, exhibitions, international student exchanges, internships, hackathons and championships
• Participation in Russian and international conferences, exhibitions, international student exchanges, internships, hackathons and championships
An individual approach
• Assistance in preparation of international journal and conference publications
• Weekly research meetings with an academic advisor (research work on your graduation thesis)
• Сommunication with instructors in messengers 24x7
• Weekly research meetings with an academic advisor (research work on your graduation thesis)
• Сommunication with instructors in messengers 24x7
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LIRS team took part and won the Robocup-at-Home 2023 and 2024 championship (Tatarstan Republic level).
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A step-by-step guide about online application is here.
A step-by-step guide about online submission of documents in English is here.
Guide in Russian language is here.
The required documents for application are your passport and original educational documents.
All documents must be translated into Russian language. Translations must be notarized.
A step-by-step guide about online submission of documents in English is here.
Guide in Russian language is here.
The required documents for application are your passport and original educational documents.
All documents must be translated into Russian language. Translations must be notarized.
Apply for studies
How to join us
Pass entrance exams and get a highly demanded profession
Robotics impacts on human future increase rapidly. Your new skills and knowledge will guarantee you to be a part of this future.
Evgeni Magid
Professor, PhD
A Head of «Intelligent Robotics» Master program
A Head of the Laboratory of Intelligent Robotic Systems (LIRS) of the Kazan Federal University (KFU)
The program is based on educational programes of the world's leading universities in the field of IT and robotics:
• Carnegie Mellon University (USA)
• The Technion – Israel Institute of Technology (Israel)
• The University of Tsukuba (Japan)
• Kyoto University (Japan)
• The University of Bristol (Great Britain)
A Head of «Intelligent Robotics» Master program
A Head of the Laboratory of Intelligent Robotic Systems (LIRS) of the Kazan Federal University (KFU)
The program is based on educational programes of the world's leading universities in the field of IT and robotics:
• Carnegie Mellon University (USA)
• The Technion – Israel Institute of Technology (Israel)
• The University of Tsukuba (Japan)
• Kyoto University (Japan)
• The University of Bristol (Great Britain)
Teachers
- Evgeni MagidThe program Head, PhD, ProfessorProfessor Magid received a bachelor's and master's degree from the Israel Institute of Technology "Technion". At the University of Tsukuba (Japan) he passed the PhD defense on search and rescue robotics. He worked as a research associate at the National Institute of Advanced Technical Sciences and Technology (Japan), at the University of Tsukuba, at Carnegie Mellon University (USA), and at the University of Bristol (UK). Evgeni is an author of more than 200 papers indexed in
Scopus and Web of Science databases. He teaches master's courses: «Introduction to robotics», «Scientific research methods», «Mobile robotics» and «Social robotics». - Roman LavrenovAssistant ProfessorRoman is a specialist in C++ and Python programming. He teaches the following master's courses: «Robotic Operating System», «Industrial robotics» and others. Author of more than 50 publications in Russian and English languages. He is a holder of the rector's scholarship for young scientists of Kazan Federal University and the winner of the all-Russian competition among programming teachers «VK Fellowship» (2020). He is a winner of «The best young teacher of Kazan in 2020» contest. Author of an online course and methodological guide on the Robotic Operating System (ROS). Roman was trained to programme KUKA, Fanuc, ABB industrial robots.
- Maxim TalanovCandidate of Technical Sciences, a Head of the Laboratory of Neuromorphic Computing and Neurosimulations (NCN) of the Institute of ITISMaxim had been leading a number of research projects at GDC Fujutsu Russia company for 8 years, including automated code creation. He teaches the following master's courses: «Application engineering and domain engineering», «Methods of analysis and construction of information systems», «Artificial Intelligence». Over the past 5 years, he have published more than 60 papers, indexed in Scopus and Web of Science databases.
- Elvira ChebotarevaCandidate of Physical and Mathematical Sciences, Associate ProfessorElvira graduated from the Kazan State Pedagogical University with a degree in mathematics and informatics. In 2010 she defended PhD thesis on the specialty 01.01.02 "Differential equations, dynamical systems and optimal control". In 2020 she graduated from the Institute of Information Technology and Intelligent Systems of the Kazan State Federal University with a master's degree in robotics.
- Tatyana TsoyCandidate of Technical Sciences, Associate ProfessorIn 2012 Tatyana graduated from "International Area Studies" Master's Degree Program at Tsukuba University. In 2008 - 2009 worked as a junior coordinator for the JICA Project "Capacity Development Project for monitoring landslides in the Republic of Uzbekistan", in 2011 - 2012 coordinator for foreign students affairs at Tsukuba University in Japan, 2014 administrative manager in the travel company InsideAsiaTours in the UK. In 2024 she received the Candidate of Technical Sciences degree in specialty 2.3.8. "Informatics and information processes" (technical sciences). She speaks English, Japanese and Chinese languages.
- Ramil SafinSenior LecturerRamil graduated from KFU with a degree in software engineering (robotics). He is interested in mobile and industrial robotics, and performs tasks in the field of machine vision and artificial intelligence. The topic of the master's thesis is related to visual SLAM from multiple cameras. Ramil did his intenship at Kanazawa University in Japan and worked with the development of algorithms on Nvidia Jetson. He is an author of more than 20 publications in Russian and English languages, indexed in the RSCI, Scopus and Web of Science databases. He teaches the following courses: «Fundamentals of technical vision», «Robotic systems sensors», «Algorithms and data structures».
- Alexandra DobrokvashinaSenior LecturerIn 2015 Alexandra graduated from the "Grammar school No. 7" with a gold medal. In 2019 received her bachelor's degree with the speciality of “Applied Information Science” at the Institute of Information Technology and Intelligent Systems of KFU. That same year, she enrolled in a master's program in Intelligent Robotics, which she successfully completed in 2021. A year later, she started studying for a PhD. Alexandra speaks English. Also she works with such programming languages as Java, SQL, C/C++, Python and C#.
- Alexander EryominTeaching AssistantIn 2018 graduated from school No. 3 in Kuragino with gold medal. In 2020 graduated with bachelor's degree in "Software Engineering" from the School of Space and Information Technology of Siberian Federal University. In 2024, he earned a master's degree in intelligent robotics at the Institute of Information Technology and Intelligent Systems (ITIS) of Kazan Federal University. His research interests are centred around robot navigation, experimental design, localization problem. Alexander has experience with programming in C/C++, JavaScript, C#, Java, Python, Haskell, Bash, SQL.
- Artem ApurinTeaching AssistantIn 2021, he graduated from the North Caucasus Federal University with a Bachelor's degree in "Information Security." In the same year, he enrolled in the Master's program in "Intelligent Robotics," which he completed with honors in 2023. He is currently a PhD student in the "Informatics and Information Processes" program. He is proficient in English and has experience working with programming languages such as C/C++ and Python.
Artem is the winner of the XX Republican "Student of the Year of the Republic of Tatarstan" award in the "IT-Discovery" category.
Your skills after graduation
- Robot Operating System
- Robot Manipulators
- Modelling
- Computer Vision
- C++ Programming
- Mobile Robotics & Path Planning
- Sensors & Sensing
- Human-robot Interaction
- Industrial Robotics
- Machine Learning
- Communication Skills
- Academic Writing
Courses
The program curriculum includes general IT courses and specialized robotics courses
In this course you will learn the basic concepts and algorithms of computer vision, including the principles of image formation, mathematical models of cameras, camera calibration methods, recognition and mapping of feature points, working with a stereo image, visual simultaneous localization and mapping. The theoretical knowledge is accompanied by practical tasks using OpenCV, C++ and Python.
In this course you will learn how to effectively select and study scientific publications in robotics, arrange your research process, prepare your own scientific publications and professionally present results of your research work. The course targets for individual work with each student, because all practical and home assignments require to use the theoretical knowledge (gained at the lectures) in order to solve specific problems, which are directly connected to a student's Master thesis.
In this course you will learn about robot manipulators, DH parameters, forward and inverse kinematics, trajectory generation, and basics of manipulator mechanical design. Practical tasks are carried out in a virtual simulation environment and with Lego EV3 robot kits.
In this course you will learn the main framework for developing and programming robots in C++ and Python, including construction and usage of robot models in the Gazebo simulator and RViz utility, programming autonomous motion of robots and their interaction with a virtual world using various onboard sensors.
In this course you will learn how various sensors are used in the field of robotics. After the course students will have practical skills and experience of working with sensors for machine vision, localization and mapping, and industrial robotics applications.
In this course you will learn bio-inspired approaches in artificial intelligence, high-level cognitive architectures and low-level neuromorphic computing, neurotransmission and neuromodulation in living neurons. Practical tasks require a team work on programming various algorithms and their integration into control systems of the real robots.
In this course you will learn the features of human-robot interaction (HRI), principles of design and perception of social interfaces, ethical and cultural aspects of social robotics, methods for evaluating the quality of social robotic interfaces. Students will learn to develop experiments for HRI evaluation, prepare and conduct experiments, analyze and evaluate the obtained experimental results.
The course provides students with theoretical and practical knowledge of programming KUKA industrial manipulators. Practical tasks use KUKA robots, which are programmed in Kuka Robot Language (KRL). Students will learn to adjust, calibrate and program robots in manual and automatic modes.
In this course you will learn about kinematics and locomotion of mobile robots, basic mapping and localization methods, and a broad variety of path planning techniques and algorithms, including map-based planning, Bug family algorithms, Voronoi graph and potential function approaches, and others. Practical tasks will be performed in the Gazebo environment and with Lego EV3 robot kits.
In this course you will gain practical knowledge of using the Robot Operating System (ROS) for mobile robot applications. Students will work on various individual and team tasks and projects that require programming real robots of the Laboratory of Intelligent Robotic Systems.
This is an optional course where students will cover advanced topics of robotics and deepen their knowledge in artificial intelligence, machine learning, bio-inspired and psycho-emotional based approaches in robotics.
This course covers the planning and execution of experiments, including both virtual and physical experiments. Special attention is given to human factors and experimental design involving human subjects. Students will learn methods for testing statistical hypotheses and performing statistical data analysis and processing.
This course introduces students to the key methods and tools of computer vision. Students explore camera modeling, perspective projection geometry, and homogeneous coordinate systems, and learn stereo vision and triangulation techniques for 3D scene reconstruction.
Special emphasis is placed on camera calibration using calibration patterns, visual odometry, and relative pose estimation of objects. Hands-on practical sessions are conducted in the Gazebo/ROS environment, with the use of industrial Basler and ELP cameras, providing students with practical experience in working with both hardware and algorithms that are in high demand in real-world robotics and computer vision projects.
Special emphasis is placed on camera calibration using calibration patterns, visual odometry, and relative pose estimation of objects. Hands-on practical sessions are conducted in the Gazebo/ROS environment, with the use of industrial Basler and ELP cameras, providing students with practical experience in working with both hardware and algorithms that are in high demand in real-world robotics and computer vision projects.
This course provides an in-depth study of the legal dimensions of digitalization and automation against the backdrop of rapid progress in robotics and artificial intelligence. The curriculum covers the regulatory and legal frameworks that govern the design, implementation, and operation of robotic systems, while also addressing the emerging legal challenges associated with their real-world application.
Professional foreign language (English)
Software engineering methodology
Introduction to software engineering
Software development process
Systems theory and systems analysis
Software engineering tools
Legal fundamentals of informatization (focus on robotics)
Application engineering and domain engineering
After graduation
Data in the diploma
09.04.04. Software engineering
Degree: Master of Science
Degree: Master of Science
Job opportunities after graduation
Laboratory of Intelligent Robotic Systems (LIRS)
LIRS members and students are engaged in basic and applied research in various fields of robotics:
• unmanned ground vehicles (UGV)
• unmanned aerial vehicles (UAV)
• industrial robotics
• simulation of robots
• group interaction of robots
• human robot interaction (HRI) and social robotics
• graphical user interfaces (GUI) and others
• unmanned aerial vehicles (UAV)
• industrial robotics
• simulation of robots
• group interaction of robots
• human robot interaction (HRI) and social robotics
• graphical user interfaces (GUI) and others
Research laboratories of the program
Laboratory of Neuromorphic Computing and Neurosimulations
(NCN)
(NCN)
NCN members and students are engaged in research in the field of bio-inspired systems:
• bio-inspired behavioral mechanisms of a robot brain
• social emotional robots
• simulation of emotions and neural activity
• neuro-simulations through high-performance and parallel computing on a cluster
• social emotional robots
• simulation of emotions and neural activity
• neuro-simulations through high-performance and parallel computing on a cluster
Today LIRS is one of the most well-equipped laboratory in Russia
Today LIRS is one of the most well-equipped laboratory in Russia
Crawler robot «Engineer»
- Specialization: search and rescue operations, exploration, technical applications.
- What it can do: collect data using 4 cameras and lidar, grasp and manipulate objects, move on uneven terrain.
- How it is used: autonomous navigation, obstacle avoidance, working in remote control mode.
- Control system: via ROS.
- Used in education for/at: Master thesis related research.
- Developer: «Servosila» company (Russia).
Mobile robot Unior
- Specialization: locomotion on public roads and pavements, autonomous logistic.
- What it can do: collect data using Kinect, lidar and ultrasonic sensors; transport cargo.
- How it is used: development of autopilot and autonomous driving algorithms in dynamic environments.
- Control system: via ROS.
- Used in education for/at: courses «Autonomous robotic systems» (theory) and «Applied technologies in the development, design and operation of information systems» (practice), Master thesis related research.
- Developer: «Avrora Robotics» company (Russia).
Industrial robots KUKA KR3
- Specialization: welding, assembly, packaging on conveyors.
- What they can do: capture and manipulate objects using machine vision; allows adding new sensors and grippers.
- How they are used: manual programming and intelligent motion algorithms.
- Control system: Kuka Robot Language (KRL).
- Used in education for/at: courses «Introduction to robotics» (theory) and «Industrial robotics» (practice), Master thesis related research.
- Developer: «KUKA» company (Germany-China).
Wheeled robot TIAGo Base
- Specialization: indoor locomotion, autonomous logistics.
- What it can do: collect data using lidar and ultrasonic sensors, transport cargo up to 50 kg.
- How it is used: autonomous navigation, indoor cargo delivery in autonomous mode, base station for small-size UAVs.
- Control system: via ROS.
- Used in education for/at: courses «Autonomous robotic systems» (theory), «Robotic Operating System (ROS)» (simulator), «Applied technologies in development, design and operation of information systems» (practice) and «Artificial intelligence» (practice), Master thesis related research.
- Developer: «PAL Robotics» company (Spain).
Humanoid robots ROBOTIS-OP2 and ROBOTIS-OP3
- Specialization: robot soccer, applications in human robot interaction.
- What they can do: data collection using a camera, human-like movements (20 joints), verbal interaction.
- How they are used: interaction with humans and other robots.
- Control system: via ROS.
- Used in education for/at: courses «Introducation to robotics» (theory) and «Applied technologies in development, design and operation of information systems» (practice), Master thesis related research.
- Developer: «ROBOTIS» company (South Korea).
PX4-LIRS Quadcopter
- Specialization: photographing objects, delivery of small cargo.
- What it can do: remote-controlled and autonomous flight, data collection using a camera, open and available for modification hardware platform.
- How it is used: autonomous visual indoor navigation, tracking a ground robot.
- Control system: via ROS.
- Used in education for/at: Master thesis related research.
- Developer: Ivan Petrovsky Bryansk State University and LIRS of Kazan Federal University (Russia).
DJI Phantom 4 PRO Quadcopters
- Specialization: photographing objects, delivery of small cargo.
- What they can do: remote-controlled and autonomous flight, data collection using a camera, video transmission to a smartphone.
- How they are used: autonomous visual indoor navigation, tracking a ground robot.
- Control system: DJI Mobile SDK (Android, iOS).
- Used in education for/at: Master thesis related research.
- Developer: «DJI» company (China).
Lego EV3 robot kits
- Specialization: kits for teaching basic concepts of robotics.
- What they can do: designing manipulators and mobile robots, processing data from sensors.
- How they are used: learning the basics of robot design and programming.
- Control system: LeJOS (Java for Lego).
- Used in education for/at: courses «Introduction to robotics» (practice) and «Autonomous robotic systems» (practice).
- Developer: «Lego» (Denmark).
On-board and off-board sensors
- Specialization: expand capabilities of mobile robots and infrastructure.
- What they can do: lidars recognize obstacles, cameras provide a picture up to 4K, depth cameras distinguish three-dimensional (3D) objects.
- How they are used: collecting multi-modal data from an environment.
- Control system: via ROS.
- Used in education for/at: courses «Introduction to robotics» (theory and practice), «Computer vision» (theory), «Robot Operating System (ROS)» (simulator) and «Sensors & Sensing» (practice), Master thesis related research.
- Developer: «Hokuyo» (Japan), «Stereolabs» (USA), «Basler AG» (Germany), etc.
Collaborative robots UR3 and UR5
- Specialization: welding, assembly, packaging.
- What they can do: capture and manipulate objects, assembling small parts, soldering and painting. Allows to automate repetitive and dangerous payload operations.
- How they are used: intelligent programming algorithms.
- Control system: Polyscope GUI, 12" touch screen.
- Used in education for/at: courses «Industrial robotics», Master thesis related research.
- Developer: «Universal Robots» company (Denmark).
- Specialization: work on conveyors, assembly, packaging.
- What they can do: grasping and manipulating objects, assembling small parts, soldering and painting (including the possibility of replacing the end tool).
- How are they used: manual programming and intelligent movement algorithms.
- Used in education for/at: «Industrial robotics» (theory), Master thesis related research.
- Developer: Eidos Robotics (Russia, Kazan)
Mobile robot ArtBul
- Specialization: Delivery of cargo in a dynamic environment (hospital, warehouse, store, etc.).
- What can it do: data collection using lidar and ultrasonic sensors, cargo transportation.
- How it is used: development of mapping algorithms and autonomous movement in dynamic situations.
- Control system: via ROS.
- Used in education for/at: courses «Autonomous robotic systems» (theory) and «Applied technologies in the development, design and operation of information systems» (practice), Master thesis related research.
- Developer: LIRS (Russia)
Industrial robot AC10-1300
Advices from our students for applicants
Shabalina K. «Development and implementation of a control system and autonomous navigation scenarios for the mobile robot "Aurora Unior"» (Magna cum laude) PDF
Examples of previous years Master theses (must be submitted in Russian)
2019
Khusnutdinov K. «Simulation of dependent joints' finger movement control of the humanoid robot AR-601M for object grasping tasks» PDF
Moskvin I. «Development and implementation of a path planning algorithm for the crawler robot "Engineer" based on static balance within an RSE-environment in a P2P locomotion mode» PDF
Vasilyev G. «Development and implementation of a walking algorithm for a small-sized humanoid robot ROBOTIS-OP3» PDF
Denisov E. «Algorithm for autonomous exploration of an unstructured 3D space for a ground mobile robot» PDF
2020
Safin R. «Development of a visual SLAM algorithm for a multi-camera system in the Gazebo simulator» (Magna cum laude)
Chebotareva E. «PMB-2 mobile robot tracking algorithm based on laser rangefinder and monocular camera data» (Magna cum laude)
Shafikov A. «Simulation of an autonomous manipulator control system for medical diagnostics by palpation method in the ROS-Gazebo environment» (Magna cum laude)
2021
Dobrokvashina A. «Modelling of the robot Servosila Engineer and its path planning in 2.5D using weight and dimensional characteristics» (Magna cum laude)
Safin R. «Movement rules development and implementation for a heterogeneous ground robots in a smart hospital environment»
Khazetdinov A. «Automation of warehouse inventory tasks using localization of ground delivery robot using ArUco-markers»
2022
Abbyasov B. «Modeling of a medical robotic complex for autonomous palpation using an ultrasound sensor in the Gazebo simulator»
Gabdrahmanov R. «Modeling of virtual tracks for the Servosila Engineer robot using gear wheels in the Gazebo simulator»
Mavrin I. «Development of an algorithm for environment exploration and mapping by the Turtlebot robot under limited battery resources»
2023
Abdulganeev R. «Autonomous door-opening process using the mobile robot "Servosila Engineer"»
Apurin A. «Modeling in the Gazebo simulator, construction, and software development for the LIRS-ArtBulle omnidirectional mobile robot» (Magna cum laude)
Kidiraliev E. «Application of optical sensors for industrial robot–human interactions in the Gazebo environment»
Mingachev E. «Development of an automatic generator of complex environments for the Gazebo simulator»
Tukhtamanov N. «Creation of a human model library and an interface for selecting motion parameters for the Gazebo simulator»
2024
Kolin N. «Implementation of grasping objects of various shapes for a manipulator with six degrees of freedom» (Magna cum laude)
Myrzin V. «Contextual image augmentation using stable diffusion for human detection tasks in USAR environments» (Magna cum laude)
Eryomin A. «An algorithm for detecting reflective surfaces using laser rangefinder data based on a likelihood field model and the generalized iterative closest point method» (Magna cum laude)
2025
Zagirov A. «Adaptation of the KUKA KR3 industrial manipulator for performing a work task in collaborative human–robot interaction» (Magna cum laude)
Mukiev M. «Development of ROS-based software for controlling an industrial conveyor in a collaborative robotic manufacturing environment»
Sultanov R. «The influence of dynamic solar illumination on the accuracy of visual localization on a road with natural elements using standard SLAM algorithms in the Gazebo simulator» (Magna cum laude)
Farkhetdinov R. «Development and implementation of an algorithm for searching for victims buried under rubble using stereo vision of the tracked robot "Servosila Engineer"» (Magna cum laude)
Myzina A.G. «Development and implementation of a swarm control algorithm for a group of unmanned aerial vehicles for the task of collaboratively surveying the surface of a water body» (Magna cum laude)
Khasanyanov A.F. «Implementation of a Simultaneous Localization and Mapping System for a Resource-Constrained Mobile Robot» (Magna cum laude)
Mustafin М.А. «Development of a robotic cell prototype based on the UR5e robot for collaborative assembly tasks» (Magna cum laude)
2026
Gamberov T.R. «Development of software and quality assessment methodology for digital human models in the Gazebo simulator» (Magna cum laude)
Garipov R.R. «Development of an Android-based mobile application for the remote control and monitoring of ground-based mobile robots»
Giniyatov M.N. «Development of an integrated data exchange system between two industrial robots within a collaborative manufacturing environment» (Magna cum laude)
Kislovskii A.D. «Development of software for generating eArUco markers and their application for the positioning of the "Servosila Engineer" robot» (Magna cum laude)
What students say about us
Contacts
If you have any further questions, please contact us via email or the communication form below.
We will be happy to help you!
We will be happy to help you!
+7 (843) 206-52-33 (ext. 35-22)
tt@it.kfu.ru
Tatyana Tsoy
tt@it.kfu.ru
Tatyana Tsoy
Russia, Kazan, Kremlyovskaya Street, 35, office 1410 (14th floor).
We are located in the heart of the city.
The nearest metro station — «Ploshchad Gabdully Tukaya» («G. Tukay Square»).
We are located in the heart of the city.
The nearest metro station — «Ploshchad Gabdully Tukaya» («G. Tukay Square»).
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