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Course detail
FSI-VRMAcad. year: 2026/2027
After completing the course, the student will be able to:
understand kinematic and dynamic modeling of industrial and mobile robots,
perform multibody modeling of manipulators and their drive systems,
design control structures for robotic systems and evaluate their stability and performance,
implement trajectory planning and motion control,
build simulation models and digital twins of robots,
apply virtual commissioning techniques.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
knowledge of linear algebra and basic differential equations,
introductory knowledge of automation and control (advantage),
basic programming skills,
fundamentals of mechanics and dynamics.
Rules for evaluation and completion of the course
Attendance at lectures is recommended, attendance at seminars is required. It is at the teacher's discretion to decide how to make up for missed seminars.
Aims
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
Lecture
Teacher / Lecturer
Syllabus
Introduction to robotics, robot types, core concepts, architecture of robotic systems
Forward and inverse kinematics of robotic manipulators
Differential kinematics and Jacobians
Dynamic models of robots
Multibody modeling of manipulators and drive systems
Dynamic simulation of motion, loads, torques
Basics of robot control — PID, decoupling, robust control
Advanced control — model-based control, feedforward, impedance control
Trajectory planning — position, velocity, time-optimal trajectories
Modeling robot–environment interaction (contact tasks)
Virtual commissioning, digital twin of a robot
Integration of robots into production lines — communication, safety, PLC interfaces
Trends in robotics — collaborative robots, AMRs, AI in robotics
Laboratory exercise
Introduction to simulation environment, basic manipulator model
Forward and inverse kinematics for a 2–3 DOF robot
Numerical differential kinematics, Jacobian computation
Multibody model of a simple manipulator
Drive simulation — motor, gearbox, friction models
Dynamic simulation and torque computation
Implementation of basic position control
Implementation of advanced control — feedforward/impedance
Trajectory generation and simulation
Simulation of contacts and robot–environment interaction
Virtual commissioning — creation of a robot digital twin
Simulation of a robotic cell with sensors/PLC integration
Project presentations — complete model + control + simulation