Information Package

Program of Artificial Intelligence Engineering (English)

AI332

SIMULATION TOOLS IN ROBOTICS

Course Code
AI332
Semester
Sixth Term (Spring)
Theory+Practice
3 + 1
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study3
SemesterSixth Term (Spring)
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

Mode of Delivery
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThis course introduces modern simulation tools used in the analysis and design of robotic systems. Students will gain hands-on experience with platforms such as Gazebo, ROS-based simulators, Webots, and MATLAB/Simulink. Topics include kinematic and dynamic modeling, sensor and actuator simulation, environment modeling, motion planning, and AI-based control testing. Emphasis is placed on designing realistic simulation scenarios and validating AI algorithms for autonomous robots.
Course Contents
Recommended or Required Reading* Morgan Quigle, Brian Gerkey, William Smart, Programming Robots with ROS: A Practical Introduction to the Robot Operating System
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction-
Work Placement(s)No