376.075 How to Invent a Robot - Product Development from the User Perspective
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 3.0h, 5.0EC, to be held in blocked form


  • Semester hours: 3.0
  • Credits: 5.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to develop and present a product idea in the field of autonomous/intelligent systems (A/IS) - robotics and artificial intelligence - to such an extent that it is understandable and tangible for outsiders.

You learn in particular

  • how to recognize and understand a problem
  • how to communicate with people who think and work differently
  • how to develop an idea so that it becomes unique (keyword USP)
  • how to bring your strengths to the team
  • and what else it takes to get others excited about an innovative technical idea.

Subject of course

Based on the Design Thinking method from the University of Stanford, we treat the product development cycles empathize, envision and build with a focus on innovative solutions with interdisciplinary teamwork and self-reflection. In a clearly defined framework, the students work out specific solutions in teams to address a problem from the pool of Global Goals for Sustainable Development, and present them to a jury of innovation experts.

All fields of study are welcome! We need specialists, generalists and lateral thinkers who are willing to think outside the box and grow. Pre-knowledge of robotics is not necessary.

"Autonomous and intelligent systems (A/IS) have the potential to contribute to the resolution of some of the world’s most pressing problems, including: violation of fundamental rights, poverty, exploitation, climate change, lack of high-quality services to excluded populations, increased violence, and the achievement of the Sustainable Development Goals." AI/S for Sustainable Development (IEEE Standards)

Teaching methods

The LVA is held in blocks and can didactically be assigned to project-based learning. The focus is on the learners with their interests and strengths; the lecturer sees herself as an initiator and mentor.

Mode of examination




Course dates

Fri09:00 - 12:0010.03.2023 (LIVE)Empathize - ALLE Online
Fri09:00 - 12:0017.03.2023 (LIVE)Define the Problem - ALLE Online
Fri00:00 - 00:0024.03.2023 (LIVE)Ideate - Teams Online nach Terminvereinbarung
Fri09:00 - 12:0031.03.2023 (LIVE)Build & Evaluate 1 - ALLE Online
Fri00:00 - 00:0005.05.2023 (LIVE)Build & Evaluate 2 - Teams Online nach Terminvereinbarung
Fri09:00 - 12:0012.05.2023 (LIVE)Pitch - ALLE Online
Fri09:00 - 10:0026.05.2023 (LIVE)Lessons Learned - ALLE Online
Course is held blocked

Examination modalities

participation 50%
presentation 25%
documentation 25%

Course registration

Begin End Deregistration end
20.02.2023 08:00 08.03.2023 08:00 10.03.2023 08:00


Study CodeObligationSemesterPrecon.Info
066 445 Mechanical Engineering Not specified
TRS Transferable Skills Not specified


No lecture notes are available.

Previous knowledge

Empfohlen Ende des Bachelors oder im Masterstudium

Alle Studienrichtungen sind willkommen; keine Vorkenntnisse in Robotik notwendig.


  • Attendance Required!