Do you speak Russian language?
Pay attention that entrance examinations are conducted in Russian language
Go 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?
Pay attention that entrance examinations are conducted in Russian language
Go 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»
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
Program duration
2 years
Places
10 state-funded places
(2 of which are
appreticeship places)
1 paid place for foreign students
Entrance examination
Written examination
The instruction on online entrance examination in 2022 is here.
Tuition
Soon
Dates for the entrance examination and consultation on arrangements for 2023 exam series
Consultation date
Examination date
July 17, 2023
15:00
July 18, 2023
9:00-14:00
Extra day — July 25, 2023
Consultations and examinations are held
via Zoom platform and at the university
Please install Zoom app before entering any of the meetings
Examinations are held on the online application form of KFU via the link
Pay attention that time is set for Moscow time
(UTC/GMT +3 hours)
June 20, 2023
16:00
Extra day — June 27, 2023
June 21, 2023
9:00-14:00
May 15, 2023
16:00

May 16, 2023
9:00-14:00

Consultation date
Examination date
August 2, 2023
9:00-14:00
August 1, 2023
16:00

Extra day — August 8, 2023
For state-funded places
14 августа 2023
9:00-14:00
11 августа 2023
16:00
Extra day — August 17, 2023
For contract places
Zoom link
Meeting ID: 730 6379 0051
Entry code: tV1S5x
Consultation date
Examination date
Consultation date
Examination date
Consultation date
Examination date
Pay attention! To pass the entrance exam for a budget form of education, select one of the exam dates - May 15 OR August 2.
Pay attention! To pass the entrance exam for a budget form of education, select one of the exam dates - May 15 OR August 2.
Applicants who have not passed the entrance exam for a valid reason (illness or other documented circumstances) are allowed to take the entrance exam with another group or on a reserve day. Detailed information here.
Applicants who have not passed the entrance exam for a valid reason (illness or other documented circumstances) are allowed to take the entrance exam with another group or on a reserve day. Detailed information here.
Applicants who have not passed the entrance exam for a valid reason (illness or other documented circumstances) are allowed to take the entrance exam with another group or on a reserve day. Detailed information here.
Applicants who have not passed the entrance exam for a valid reason (illness or other documented circumstances) are allowed to take the entrance exam with another group or on a reserve day. Detailed information here.
Extra day — May 22, 2023
Applicants who have not passed the entrance exam for a valid reason (illness or other documented circumstances) are allowed to take the entrance exam with another group or on a reserve day. Detailed information here.
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, hackathons and championships
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.
LIRS team took part and won the Robocup-at-Home 2023 championship.
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, hackathons and championships
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.
LIRS team took part and won the Robocup-at-Home 2023 championship.
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
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.
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
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.
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
  • 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
    Assistant Professor
    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). 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 Talanov
    Candidate of Technical Sciences, a Head of the Laboratory of Neuromorphic Computing and Neurosimulations (NCN) of the 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.
  • Ramil Safin
    Research Associate
    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 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».
  • 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.
  • Shifa Sulaiman
    Research Associate
    In 2011, Shifa graduated from the Cochin University of Science and technology (CUSAT), India and received a Bachelor's degree in Mechanical Engineering. In 2013, she received her Master's degree in Machine Design from Mahatma Gandhi (MG) University, India. During Bachelor's and Master's degree programs, she received the minority welfare scholarship granted by government of India. From January 2013 to December 2017, Shifa worked as an Assistant Professor in various Indian Engineering Institutes. Since December 2017, she has been doing PhD at National Institute of Technology, Calicut, India, specializing in Humanoid Robotics. She has experience in C++ and Python programming languages. She speaks English and a number of Indian Languages.
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
Courses
The program curriculum includes general IT courses and specialized robotics courses
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 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 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.
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).
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 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.
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).
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»
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»
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!
+7 (843) 206-52-33 (ext. 35-22)

ang.iskhakova@it.kfu.ru
Anzhelika Iskhakova

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»).
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LIRS' partners
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