Industrial Robotics and Automated Systems

About

Upon completing this course, students will be able to:
1. Understand the fundamental principles and components of industrial robotics and
automation systems.
2. Analyze and design robotic systems for industrial applications, including kinematics,
dynamics, and control.
3. Apply programming techniques for robotic manipulators and automated systems.
4. Integrate sensors, actuators, and controllers into industrial automation workflows.
5. Evaluate and implement modern approaches in robotics, such as machine learning,
computer vision, and collaborative robots.
6. Critically assess the societal and ethical implications of automation and robotics in
industrial environments.

Content
Overview of robotics in industry; historical evolution, core applications, and trends. Social,
ethical, and environmental aspects of industrial automation. Robotic programming languages
and frameworks (such as ROS 2), simulation environments (Gazebo, MoveIt), and task-specific
programming. Fundamentals of forward and inverse kinematics, motion planning, and robot
dynamics. Introduction to PID control, trajectory generation, and advanced control strategies.
Role of sensors (vision, force, proximity) and perception in robotic systems. PLCs, SCADA, IoT,
and their integration with robotic systems for automation. Collaborative Robots and Human
Robot Interaction (concepts, safety standards, and applications of robots in industrial settings).
Applications of AI and ML techniques in robotics, including predictive maintenance and adaptive
learning. Real-world examples of robotics and automation systems in manufacturing, logistics,
and other sectors

Course leader

Ilkka Jormanainen (ilkka.jormanainen@uef.fi)

Target group

Bachelor, Master, Doctoral

Fee info