Master degree program
Robotic systems

Robotic systems

QUALIFICATION

  • Scientific and pedagogical direction - Master of Engineering Sciences

MODEL OF GRADUATING STUDENT

ON 1 Collect, process, analyze and systematize scientific and technical information, conduct patent searches on robotic research, use the achievements of domestic and foreign science, technology and technology in the direction of professional activity "robotic systems".
ON 2 Participate in the development of functional and structural schemes of robots and robotic systems, to carry out design calculations and feasibility studies of designs of robotic systems in accordance with the terms of reference;
ON 3 Design and construct parts and assemblies of robots and robotic systems using computer-aided design tools, select methods and tools for modeling robots and robotic systems;
ON 4 Possess modern information technologies, apply modern and software design tools in the design and management of robotic systems and their individual modules;
ON 5 Develop experimental models of control, information and Executive modules of robots and robotic systems and conduct their research using modern information technology;
ON 6 Use existing software packages and develop new software required for information processing and control in robotic systems;
ON 7 Develop methods of experiments and conduct experiments on existing models and samples of robotic systems and process the results with the use of modern information technology and technical means;
ON 8 Implement in practice the results of research and development carried out individually and as part of a group of performers, to ensure the protection of intellectual property rights.
ON 9 Carry out independent scientific research in the field of methods of teaching special disciplines in robotic systems, to demonstrate knowledge of modern methods of pedagogy of higher education and psychology of management and apply them in teaching;
ON 10 Make analytical reviews and scientific and technical reports on the results of the work performed, to prepare scientific publications on the results of research and development, to present the results and conclusions in a reasoned scientific presentation or defense.
ON 11 Teach special disciplines on robotic systems in higher and secondary educational institutions.
ON 12 Work as part of a team on innovative scientific and educational projects, to make responsible decisions in the framework of professional activity, to search for non-standard solutions, to possess the skills of strategic thinking in the field of social communication management.

Program passport

Speciality Name
Robotic systems
Speciality Code
7M07118
Faculty
Mechanics and Mathematics

disciplines

Biomechanical systems
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Purpose: formation of undergraduates' knowledge about the fundamental laws and principles of biomechanics, theoretical knowledge about the mechanical properties of biological systems, as well as physical phenomena occurring in them in the process of life and movement of the body in space. To be studied: mechanical movement. Kinematics. Biomechanics of the human locomotor system. Biomechanics of artificial organs. Exoskeletons. Prostheses.

Foreign Language (professional)
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The content of the discipline includes methods of mastering the oral and written forms of the professional level of a scientific foreign language, linguistic features of a professional written language, methods of analyzing texts of scientific style, mechanisms of interpretation of scientific literature in the specialty, technologies for preparing texts of various genres

History and Philosophy of Science
  • Number of credits - 3
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The content of the discipline includes fundamental, theoretical problems of the history and philosophy of science, directed to analysis of modern socio-cultural situations from the position of critical thinking, aimed at identifying solutions to learning problems through the systematization of laws, trends and categories, and mastering the basic provisions and laws of philosophy.

Industrial Design of Robotic Platform
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline is to familiarize undergraduates with modern computer methods of automated calculation and design of parts of robots, structural elements and components, methods of performing finite element analysis in a computer-aided design environment. The following will be considered: modern computer methods for automated calculation and design of robot parts, structural elements and components, methods for performing finite element analysis in a computer-aided design environment.

Industrial robots
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline is to study the types, purpose, general principles of operation of industrial robots, as well as their modern sensors and control devices. To develop undergraduates the skills of analysis and synthesis of various robotic and mechatronic systems. This course covers: types and designs of industrial robots, classification, applications and development of industrial robotic systems, organization of movement and control of a robot in space, creation and use of kinematic models of a industrial robot, use of various sensors, solving localization, navigation and planning problems, programming industrial robots.

Master’s dissertation preparation and defense (MDPaD)
  • Number of credits - 12
  • Type of control - Master Dissertation
  • Description - The main purpose of "The implementation of a Master Thesis": the formation of master students in preparation for the defense of the thesis for the Master in specialty (by industry). During the study of course, master student's should be competent in: 1. demonstrate the progress of solving problems arising in the course of research activities and requiring in-depth professional knowledge; 2. to argue for carrying out theoretical or experimental research within the framework of the tasks, including a mathematical (simulation) experiment; 3. can choose the necessary research methods, modify existing methods and develop new methods, based on the tasks of the specific study; 4. to use foreign languages for independent work on normative sources and scientific literature; 5. formulate the goals and objectives of the dissertation research, determine the scientific novelty and practical significance of the results of research activities; to develop a structurally methodological scheme for performing research.

Modern mobile robots
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The goal of the discipline is to familiarize the master degree students with the design, move in space, create kinematic models, use the sensors of modern mobile robots, teach how to solve problems of localization, navigation and planning, with techniques for programming modern mobile robots. The objectives of the discipline are: Familiarization with the types and design of modern mobile robots, the organization of movement and control of the robot in space, the creation and application of kinematic models of the modern mobile robot, the use of various sensors, the solution of localization, navigation and planning problems, the programming of modern mobile robots. As a result of studying the discipline, master degree students will: - Write down kinematics equations, driving dynamics of modern mobile robots; - рossess the methods of programming and solving kinematics equations, driving dynamics of modern mobile robots in Matlab systems; - рossess methods for creating programs to manage modern mobile robots when solving navigation and localization problems. This course examines the types and designs of modern mobile robots, the organization of movement and control of the modern mobile robot in space, the creation and application of kinematic models of the modern mobile robot, the use of various sensors, the solution of localization, navigation and planning problems, the programming of modern mobile robots.

Modern problems of control of robotic systems
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline: consists in the formation of systemic knowledge and professional competence in modern management methods, teaching the basics of modern management methods necessary in the design, research, production, operation of systems and controls. Will be studied: control processes of objects of different physical nature, the development of general principles of automatic control, as well as methods of control systems for technical objects.

Modern problems of robotics
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline is to study modern and topical problems of robotics. The course examines the main topical problems of robotics, the current state of robotics in the world and ways to solve modern problems of robotics.

Pedagogy of higher education
  • Number of credits - 5
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The content of the discipline includes pedagogical axiological foundations (teaching, education, methodology, research), methodological, innovative technologies, pedagogical tact, rules of ethics, strategies and methods of educational activities of the university, the place of pedagogy in the modern scientific paradigm, new scientific facts in the context of the humanities.

Psychology of management
  • Number of credits - 3
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose: to form the ability to explain fundamental concepts of management psychology, to identify the prerequisites for theoretical, practical application of aspects of management sphere in professional formation. Discipline forms an understanding of modern ideas about psychology of managing group phenomena and processes, is aimed at studying the principles of management psychology, personality in managerial interactions, personal behavior management.

Data for 2019-2022 years

disciplines

2D and 3D sensing for robotics and automation
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline: the formation of knowledge in the subject area, the study of procedures for using a computer in the design and manufacture of components, to understand the principles in the field of computer-aided design and production. Will be considered: 2D and 3D conversion; Modeling curves, surfaces and solids; Standards for computer graphics. Computer production: programming with computer digital control with interactive graphics.

AI and Deep learning for Robots
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Objective: to form comprehensive view on artificial intelligence, to study the methods of modern intelligent systems of robots. As a result of mastering this discipline, master degree students should be able to: • to demonstrate a systematic perception of modern methods of artificial intelligence, the latest developments in the field of intelligent systems of robots and other related intellectual equipment for various purposes (from ground-based to space systems); • to apply the methods of artificial intelligence, expert systems and neural network structures, environmental modeling methods based on artificial vision systems; • analyze and apply expert systems technology to control the movement of robots; • analyze and design management based on associative memory, fuzzy logics and situational management; • to solve the problem of task planning of intelligent systems of robots and mobile robots based on the methods of intelligent human-machine interface; • evaluate and analyze the development trends of intelligent robotics, including miniaturization, bionic robotics, group management The task of planning the actions of AI and Deep learning for Robots, intelligent systems of robots and mobile robots is solved on the basis of intelligent human-machine interface methods and frame-like structures, planning actions of intelligent robot systems based on homogeneous neural-like structures and on the basis of self-learning principles. The course provides knowledge of modern methods of research and design of intelligent systems of robots. The methods of developing the latest intelligent systems of robots: ground-based extreme robotics, space robotics and biorobotics. The methods of artificial intelligence, expert systems and neural network structures, the technology of associative memory, fuzzy logic and situational control, methods for the formation of environmental models based on vision systems. Expert systems technologies for robot motion control, control based on associative memory, fuzzy control and based on neural network structures are considered. The task of planning the actions of intelligent systems of robots and mobile robots is solved on the basis of intelligent human-machine interface methods and frame-like structures, planning actions of intelligent robot systems based on homogeneous neural-like structures and on the basis of self-learning principles.

Autonomous Navigation (on land)
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The goal of the discipline is to familiarize the master degree students with the design, move in space, create kinematic models, use the sensors of mobile robots, teach how to solve problems of localization, navigation and planning, with techniques for programming mobile robots. The objectives of the discipline are: Familiarization with the types and design of mobile robots, the organization of movement and control of the robot in space, the creation and application of kinematic models of the mobile robot, the use of various sensors, the solution of localization, navigation and planning problems, the programming of mobile robots. As a result of studying the discipline, master degree students will: - Write down kinematics equations, driving dynamics of mobile robots; - рossess the methods of programming and solving kinematics equations, driving dynamics of mobile robots in Matlab systems; - рossess methods for creating programs to manage mobile robots when solving navigation and localization problems. This course examines Technical difficulties of mobile navigation. Navigation schemes for stand-alone devices. Passive navigation schemes. Active navigation schemes. Hybrid navigation schemes. Laser rangefinders. The advantages and disadvantages of various types of sensors. Technical vision in the management of mobile robots. Adjustment of the route. Autonomous navigation of the robot in the image. Landmarks navigation (linear navigation). Navigation map "mapmatching". Mapping environment. Building a map mapping algorithm..

Autonomous Navigation (on land, sea, air)
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline: to teach undergraduates to solve problems of localization, navigation and planning, with the techniques of programming mobile robots (on land, on water, in the air). The following will be considered: the use of various types of mobile robots (on land, on water, in the air), solving problems of localization, navigation and planning, programming mobile robots (on land, on water, in the air).

Autonomous Navigation (sea, air)
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The goal of the discipline is to familiarize the master degree students with the design, move in space, create kinematic models, use the sensors of mobile robots, teach how to solve problems of localization, navigation and planning, with techniques for programming mobile robots. The objectives of the discipline are: Familiarization with the types and design of mobile robots, the organization of movement and control of the robot in space, the creation and application of kinematic models of the mobile robot, the use of various sensors, the solution of localization, navigation and planning problems, the programming of mobile robots. As a result of studying the discipline, master degree students will: - Write down kinematics equations, driving dynamics of mobile robots; - рossess the methods of programming and solving kinematics equations, driving dynamics of mobile robots in Matlab systems; - рossess methods for creating programs to manage mobile robots when solving navigation and localization problems. This course examinesTechnical difficulties of mobile navigation. Navigation schemes for stand-alone devices. Passive navigation schemes. Active navigation schemes. Hybrid navigation schemes. Laser rangefinders. The advantages and disadvantages of various types of sensors. Technical vision in the management of mobile robots. Adjustment of the route. Autonomous navigation of the robot in the image. Landmarks navigation (linear navigation). Navigation map "mapmatching". Mapping environment. Building a map mapping algorithm.

CAD of manipulators and robotic systems
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline is to train master degree students in modern methods of computer-aided calculation and design, the formation of knowledge and professional competencies in the field of manipulators and robotic systems. As a result of studying the discipline, master degree students will be able to: 1. to demonstrate knowledge in the field of design of manipulators and robotic systems by modern computer methods; 2. record analytical equations of direct and inverse kinematics of manipulators and robots; 3. program and solve analytical equations of direct and inverse kinematics of manipulators and robots in Matlab; 4. 3D design, obtain drawings and model in computer systems; 5. Conduct finite element calculation of machine components in computer systems; 6. To create a program for a microprocessor for the control of manipulators and robots 7. analyze the results and make informed conclusions. This course discusses: modern methods of design, calculation, creation of control based on direct and inverse kinematics of manipulators and robots. Computer control systems based on direct and inverse kinematics, finite element analysis and 3D design of manipulators and robots will be considered.

Dynamics of engines and rotary machines
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The aim of the discipline: formation of skills and abilities to study the dynamics of rotor systems and machines, taking into account the dynamic characteristics of the engines, methods of study of various oscillatory modes and characteristics of rotor systems, balancing and protection against vibration. On successful completion of this course the students should be able: • obtaining the necessary knowledge about rotary machines and types of engines, their models; • study of oscillatory modes of rotor systems taking into account the dynamics of the drive; • regulation and balancing of rotary machines; • to study methods of dynamic vibration damping; • to study the basic approaches of human protection from vibration. Acquisition of knowledge about the problems of the dynamics of rotary machines, which are widely used in industry and the social sphere of the economy. The solution of the equations of dynamics of rotary machines makes it possible to analyze the behavior of the rotor, taking into account the characteristics of the engine. The design of rotor systems depends on the amplitude-frequency characteristics and characteristics of the dynamic modes of the engines. The study of balancing and stability issues significantly affects the reliability of rotary machines.

Dynamics of systems of solid bodies and robots with drag
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Aim оf discipline: formation of skills and abilities of application of approaches and methods of dynamics of systems of solids for the study of mechanisms and manipulators taking into account friction in kinematic pairs, the study of patterns of damage processes and materials of different nature during wear. On successful completion of this course the students should be able: • definitions and principles of dynamics of solids systems used in the analysis of the dynamics of robotic systems • the concept of generalized coordinates and forces, equations of holonomic and nonholonomic relations; • virtual move and robots; • consideration of the laws of contact interaction in friction, mathematical models of kinematic pairs with friction forces; • consideration of changes in the properties of contact materials; • solving problems of finding the equilibrium conditions of systems taking into account the friction forces; • a review of the methods of solutions of dynamics of systems with friction Annotation. Acquisition of knowledge about the problems of mechanics of deformable solid body taking into account the modern achievements of science and world trends in the development of technology, the needs of industry. Acquisition of knowledge about the laws of the processes of damage and destruction of materials under friction. The acquisition of knowledge about the principles of influence of rolling friction on the dynamics of the robot mechanism. The equations describing the dynamics of the system under friction and the method of experimental determination of the friction coefficient are considered. To test the proposed mathematical model is necessary to conduct experimental research work. It will be shown that the theoretical and experimental results are qualitatively the same, but have a quantitative difference. Acquisition of knowledge about new methods and means of experimental studies of deformation, damage and destruction of modern materials and mechanical characteristics of structures, processing, analysis.

Experimental Robotics
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Objective: To study the methods of experimental research of modern robotic systems. As a result of mastering this discipline, undergraduates should be able to: • demonstrate a systematic understanding of the basics of experimental research on robots from sensor systems to drive systems; • analyze and apply sensing systems, methods for processing and analyzing sensory information in modern robotic systems; • understand the basics of sensor technology and drive systems; • solve the problem of collecting and processing images online; • experimentally investigate the kinematic, dynamic and energy indices of the walking robot; • experimentally investigate the control system of a mobile walking robot with automatic adaptation to the unevenness of the bearing surface; • develop and research an anthropomorphic robot based on the principles of bionics; • analyze, evaluate and compare intelligent drives based on the combined use of expert and neural network technologies; • explore and apply fuzzy drive controllers and intelligent drives based on a software and hardware complex Abstract оf course The course provides knowledge of modern methods for the experimental study of robotic systems. The basics of signal measurements, sensor calibrations and methods for processing and analyzing measurements are being studied. The modern sensory technologies, sensing systems and processing of sensory information in modern robotic systems are considered. The drive system, fuzzy drive controllers and modern intelligent drives based on the combined use of expert and neural network technologies are analyzed. Methods are being studied for an experimental study of the kinematic, accuracy, dynamic, and energy indices of robots. A laboratory system for controlling a high-mobility mobile walking robot and an anthropomorphic walking robot are being investigated.

Mechanics of mobile robots (kinematics, dynamics, control)
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The aim of the discipline: is in the study and design of wheeled vehicles on solid and elastic wheels, the preparation of wheel control; the study of the accuracy of the robot working out dynamically smooth and geometrically smooth trajectories; the study of the dynamics of mobile robots with elastic, including low pressure, wheels. On successful completion of this course the students should be able: -analysis of the actual application of the mobile robot to determine the specific operating capabilities of the robot and their compliance with the work performed; - to carry out the synthesis of trajectories, planning and implementation of mobile robot movement; - build quasi-optimal robot control with two independently driven wheels and one (possibly two) passive wheel; - to study the methods of studying the dynamics of mobile robots with elastic, including low pressure, wheels; - determine the specific hardware units (various sensors, etc.) required to ensure the functioning of the robot; - design additional design (prototype), including mechanical, electrical and data acquisition information systems that meet the requirements for the robot; Mobile robots are an extremely convenient object for setting both classical and new mechatronics tasks. An analytical and numerical study of the dynamics and motion control schemes of mobile robots; the models of mobile robots control; the applied problems of research of mobile robots, creation of modern intelligent systems, robotic mobile platforms; the robot control circuit is constructed by controlled wheels ("differential" drive), providing its smooth dynamic motion are considered.

Modern humanoid robots
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Objective: the study by undergraduates of the basic methods of calculation and the optimal design of modern humanoid robots, modern designs of humanoid robots and the area of their application in robotics. The types and designs of modern humanoid robots, the creation and use of kinematic models of modern humanoid robots, programming and areas of application of modern humanoid robots will be studied.

Modern mobile robots
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline is to familiarize undergraduates with the design, movement in space, the creation of kinematic models, the sensors used in modern mobile robots, to teach how to solve the problems of localization, navigation and planning, with the programming techniques of modern mobile robots. Will be studied: types and designs, control of the robot in space, the use of various sensors, solving problems of modern mobile robots.

Parallel Robots
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - The purpose of the discipline: the study by undergraduates of the basic methods of calculation and the optimal design of parallel robots, modern designs of parallel robots and their field of application in industrial robotics. The types and designs of modern parallel robots, the creation and application of kinematic models of a modern parallel robot, the programming and application areas of modern parallel robots will be studied.

Synthesis and Optimal Design of Parallel Manipulators
  • Type of control - [RK1+MT1+RK2+Exam] (100)
  • Description - Objective: the study by undergraduates of the basic methods of calculation and the optimal design of parallel manipulators, modern designs of parallel manipulators and their application in industrial robotics. As a result of mastering this discipline, undergraduates should be able to: • demonstrate a systematic understanding of the role and place of parallel manipulators in modern robotics and knowledge of the basics of optimal design of parallel manipulators; • analyze structural schemes and solve the problem of rational structural synthesis of parallel robots, depending on the task of manipulation; • to solve problems of computer simulation and research of kinematics, kinetostatics and dynamics of parallel manipulators, • analyze the positioning error, investigate the singularities and determine the working area of the manipulator. • apply local and global criteria for assessing the quality of parallel manipulators: isotropy, conditionality, manipulability, rigidity, positioning accuracy; • synthesize parallel manipulators of various applications based on multi-criteria optimization methods The course gives knowledge of the basic methods of calculation and optimal design of parallel manipulators. Structural synthesis of parallel manipulators is studied on the basis of group theory and screw calculus, rational block diagrams of parallel robots and their application in industrial and service robotics. Methods of computer simulation and kinematics studies, kinetostatics and dynamics, methods of analyzing positioning errors, the study of singularities and the construction of the working area are studied. The local and global criteria for assessing the quality of motion transmission, the condition of isotropy of the configuration of manipulators of the positioning and orienting type, conditionality, manipulability, and rigidity of the positioning and orienting manipulators are considered. The mathematical apparatus and software complex for the optimal design of parallel manipulators on the basis of multi-criteria synthesis are studied. Practical problems of optimal design are considered: synthesis of Cartesian manipulators, synthesis of a parallel-type manipulator-palletizer, synthesis of a spatial manipulator for a medical robot, exoskeletons of upper and lower extremities, supporting mechanisms of the legs of a walking robot, rational structural synthesis of walking robots.

Data for 2019-2022 years

INTERNSHIPS

Research practice
  • Type of control - Защита практики
  • Description - Рurpose of practice: gaining experience in researching an urgent scientific problem, expanding professional knowledge gained in the learning process, and developing practical skills in conducting independent scientific work In the course of practice, form the ability: -critically evaluate scientific literature on the topic of scientific research; -to formulate topical scientific problems, directions, research hypotheses; -plan and organize research activities; - to assess the validity of the methods used in scientific research; -create research products, broadcast your own research results.

Teaching Internship
  • Type of control - Защита практики
  • Description - Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies. During the study of course, masters should be competent in: 1. develop the taught discipline in an amount sufficient for the analytical assessment, selection and implementation of the module of the academic discipline, taking into account the level of preparedness of students, their needs, as well as the requirements of the State Educational Establishment of the Republic of Kazakhstan; 2. to develop the specifics of the organization and conduct of various types of classes in higher educational institutions (lecture, seminar, laboratory and practical); 3. apply the basic means of assessing students' academic achievements; 4. analyze the educational and methodological literature and use it to build your own presentation of program material; 5. prepare plans for seminars, practical classes, laboratory work in accordance with established methodological and methodological approaches. During the study of the discipline masters will learn following aspects: Acquaintance with the goals, objectives and content of teaching practice; drawing up of the schedule of consultations, kinds of the reporting and terms of their granting. Harmonization of the individual plan of the scientific and pedagogical practice of the undergraduate. Implementation of educational-methodical tasks coordinated with the head of practice. Visiting and analyzing the training sessions conducted by the teachers of the department. Acquaintance with the organization of scientific, methodical and educational work (plans, normative documents regulating the pedagogical process) at the faculty / at the university and the department. Development (at least 10 lessons) and conducting classes with students. Carrying out activities on the designated activities (scientific and methodological seminars, conferences, scientific circles, educational events). Preparation of an article of a scientific and methodical nature. Drawing up a report on scientific and pedagogical practice.

Data for 2019-2022 years