Spatial AI for Industrial Automation

This project-based course is offered in close collaboration with TUD colleagues, companies (CO), and governmental organizations (GO), ensuring that student projects closely mirror real-world challenges currently faced by the industry.

Throughout the course, students will develop foundational knowledge and practical skills in system engineering, robotics, and particularly the perception sub-system in autonomous systems. These skills are directly applied to a group project based on either an assigned or chosen topic. Each project aligns with a specific challenge proposed by one of the participating stakeholders.

To support project development, fundamental knowledge is provided during the lectures and lab sessions. Topics include:

• Introduction to robotics systems

• Introduction to Robot Operating System (ROS)

• Introduction to the perception sub-system

Additionally, students will have access to self-learning materials to further deepen their understanding.

The course includes lectures on various aspects of the aforementioned topics and, in parallel, familiarizes students with agile project management principles and teamwork culture. This helps students plan and execute their project tasks effectively. Working collaboratively in groups, students will take responsibility for different aspects of the project and work together to develop a robotics system that accomplishes the task at hand. Throughout the course, they will also have the opportunity to engage in dialogue with experts to refine their approach and gain practical perspectives.

The deliverables for the projects include a poster presenting their design and a demonstration on the Mirte Master (TUD educational robotic platform). Throughout the implementation phase, students are guided and coached to accomplish their tasks successfully.

More information is available for both the course content and structure by following the links.