Do you speak Russian language?
Please, pay attention that entrance examinations are conducted in Russian language
Jump to the master's program application instruction page
Scroll down to learn more about our Intelligent Robotics program
Some 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, we recommend to take a preparatory Russian language course first
Do you speak Russian language?
Please, pay attention that entrance examinations are conducted in Russian language
Jump to the master's program application instruction page
Scroll down to learn more about our Intelligent Robotics program
Some 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, we recommend to take a preparatory Russian language course first
Master program
«Intelligent Robotics»
Intelligent Robotics program teaches you the required skills for 49 future professions from «The Atlas of Emerging Jobs».
Master program
«Intelligent Robotics»
Intelligent Robotics program teaches you the required skills for 49 future professions from «The Atlas of Emerging Jobs».
2 years
10 state-funded places (2 of which are appreticeship places),
5 paid places
Places
Entrance examination
09.04.04. Software Engineering (Robotics)
Prospective students do not need prior experience in robotics
Tuition
The tuition for foreign citizens from far abroad and visa countries of the near abroad is 180 840 . The tuition for CIS citizens and winners of the Open Doors Olympiad is 125 376 ₽.
The program was established with the support of the Vladimir Potanin Foundation (Project GK180000602)
The program grants two professions simultaneously:
robotics and software engineering
Program duration
2 years
10 state-funded places (2 of which are appreticeship places),
5 paid places
Places
Entrance examination
09.04.04. Software Engineering (Robotics)
Prospective students do not need prior experience in robotics
Tuition
The tuition for foreign citizens from far abroad and visa countries of the near abroad is 180 840 . The tuition for CIS citizens and winners of the Open Doors Olympiad is 125 376 ₽.
The program was established with the support of the Vladimir Potanin Foundation (Project GK180000602)
The program grants two professions simultaneously:
robotics and software engineering
Program duration
What makes our program unique?
Education quality
• Teaching by the best Russian and foreign instructors
• 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 and hackathons
An individual approach
• Potential part-time employment in the Intelligent Robotics Department projects for students with excellent academic achievements
• 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
1
2
3
An interesting fact: Saudi Arabia is the first country that granted the first citizenship to the social humanoid robot Sophia in 2017.
What makes our program unique?
Education quality
• Teaching by the best Russian and foreign instructors
• 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 and hackathons
An individual approach
• Potential part-time employment in the Intelligent Robotics Department projects for students with excellent academic achievements
• 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
1
2
3
An interesting fact: Saudi Arabia is the first country that granted the first citizenship to the social humanoid robot Sophia in 2017.
Institute and Intelligent Robotics Department Doors Open Days
A picture is worth a thousand words. An opportunity to learn more information about an institution, experience the campus, visit the department labs, meet staff, current students, and future classmates.
Do not miss important dates, tuition information, laboratories' news and job openings.
Subscribe to our social networks
The online application system opens on June 20 (provided in Russian). A step-by-step guide about online application is here (in Russian).
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.
Important dates for admisson for foreign citizens:
September 18 — online consultation on written examination for master's degree program (on Zoom).
September 21 — written examination for master's degree program for foreign citizens.
October 09 — online consultation on written examination for master's degree program (on Zoom).
October 12 — written examination for master's degree program for foreign citizens.
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.
According to the «Atlas of the Emerging Jobs», out of 67 new professions, 49 require skills and abilities in the field of robotics.
New professions include:
• Household robot designer;
• Unmanned aircraft interfaces designer;
• Automated transportation system operator;
• Neural interface designer;
• Smart management system architect
The «Atlas of Emerging Jobs» was designed with the participation of more than 2500 experts.
It presents 67 new professions that will be in demand in the future.
Institute and Intelligent Robotics Department Doors Open Days
A picture is worth a thousand words. An opportunity to learn more information about an institution, experience the campus, visit the department labs, meet staff, current students, and future classmates.
Do not miss important dates, tuition information, laboratories' news and job openings.
Subscribe to our social networks
The online application system opens on June 20 (provided in Russian). A step-by-step guide about online application is here (in Russian).
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.
Important dates for admisson:
September 18 — online consultation on written examination for master's degree program (on Zoom).
September 21 — written examination for master's degree program for foreign citizens.
October 09 — online consultation on written examination for master's degree program (on Zoom).
October 12 — written examination for master's degree program for foreign citizens.
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.
According to the «Atlas of the Emerging Jobs», out of 67 new professions, 49 require skills and abilities in the field of robotics.
New professions include:
• Household robot designer;
• Unmanned aircraft interfaces designer;
• Automated transportation system operator;
• Neural interface designer;
• Smart management system architect
The «Atlas of Emerging Jobs» was designed with the participation of more than 2500 experts.
It presents 67 new professions that will be in demand in the future.
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)
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)
Evgeni Magid
Teachers
An undeniable fact: our teachers are the best.
Evgeni Magid
The program Head, PhD, professor
Professor 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 100 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 Lavrenov
Senior lecturer
Roman 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). Roman was trained to programme KUKA, Fanuc, ABB industrial robots.
Maxim Talanov
Candidate of Technical Sciences, a Head of the Laboratory of Neuromorphic Computing and Neurosimulations (NCN) of the Higher Institute of ITIS
Maxim 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.
Aufar Zakiev
Research assistant, postgraduate
Aufar is 24 years old. 4 years in robotics. He specializes in swarm robotics. Teacher and author of C++/Qt/Latex courses: he increased the number of students by 40 people over the past year. Finalist of the «Best graduate student - 2020» and «VK Fellowship» (2020) competitions. Aufar is professional in 3D-printing and prototyping.
Ramil Safin
Research scientist
Ramil 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. 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.
Vladimir Chegodaev
Part-time teacher, outside expert from «Scientific and production association of computer systems» company
The primary place of employment is LLC «SPA CS», where Vladimir works as a head of the quality center and decision support.
Vladimit is a specialist in IT project management. Teaches the following master's courses «Introduction to software engineering», «Basics of IT project management» and others. He has more than 10 years of experience in managing various IT projects. He has certification in the project management on standard Prince2, on service activities according to ITIL standard in the field of agile project management software development using Scrum: Professional Scrum Master and Professional Scrum Product Owner.
Your skills after graduation
Robot Operating System
Modelling
Robot Manipulators
Computer Vision
Sensors & Sensing
C++ Programming
Machine Learning
Industrial Robotics
Human-robot Interaction
Communication Skills
Academic Writing
Mobile Robotics & Path Planning
Your skills after graduation
Robot Operating System
Modelling
Robot Manipulators
Computer Vision
Sensors & Sensing
C++ Programming
Machine Learning
Industrial Robotics
Human-robot Interaction
Communication Skills
Academic Writing
Mobile Robotics & Path Planning
Courses
The program curriculum includes general IT courses and specialized robotics courses
Courses
The program curriculum includes general IT courses and specialized robotics courses
Specialized robotics courses
Software engineering courses
Computer Vision
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.
Scientific research methods
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.
Introduction to robotics
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.
Robotic Operating System (ROS)
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.
Sensors & Sensing
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.
Artificial Intelligence
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.
Social robotics
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.
Industrial robotics
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.
Autonomous robotic systems
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.
Applied technologies in development, design and operation of information systems
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.
Advanced topics on robotics and control
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.
Professional foreign language (English)
Software engineering methodology
Introduction to software engineering
Software development process
Systems theory and systems analysis
Legal fundamentals of informatization
Application engineering and domain engineering
Software engineering tools
After graduation
Data in the diploma
09.04.04. Software engineering
Degree: Master of Science
Job opportunities after graduation
After graduation
Data in the diploma
09.04.04. Software engineering
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
Research laboratories of the program
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
Research laboratories of the program
Laboratory of Neuromorphic Computing and Neurosimulations
(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
Laboratory of Neuromorphic Computing and Neurosimulations
(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
Today LIRS is the most well-equipped laboratory in Russia
Today LIRS is 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 PMB-2
  • 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 и 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: photoraphing 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.
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 PMB-2
  • 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 и 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: photoraphing 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.
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)
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)
Advices from our students for applicants