Auto Control Systems

Certificate Course - Mobility Systems Engineering - MSE.3.AD2.I26

Date Jun 10 - 11, 2027
Duration 2 days
Location On campus - Karlsruhe
Language English
ECTS upon request
Cost 1,550€
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Discover what this course is all about 

Fundamentals

Introduces autonomous mobile robot architectures and semi autonomous driver assistance; covers knowledge representation and situation assessment fundamentals.

Technology

Presents decision making and planning methods with emphasis on probabilistic/stochastic approaches handling uncertainty and partial observability.

Applications

Applies methods to autonomous cars: environment modeling, behavior selection, and outlook toward cognitive automobiles; teamwork exercises included.

What you'll explore 

  • Architectures of autonomous mobile robots and links to semi‑autonomous driver assistance

  • Knowledge representation and world modeling for road environments

  • Situation assessment under uncertainty; probabilistic approaches and partial observability

  • Decision‑making and planning methods for safe, goal‑directed behavior

  • Teamwork exercises and presentations on self‑acquired findings; outlook to cognitive automobiles

Your key takeaways

Participants

  • Gain an overview of autonomous mobile robot architectures.
  • Understand semi‑autonomous assistance concepts and their system context.
  • Learn decision and planning methods used in autonomous driving.
  • Apply information gathering and situation classification under uncertainty.
  • Develop awareness of key challenges and limitations in intelligent systems.

Taught by recognized experts in Auto Control Systems

Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.

Prof. Dr.-Ing. Arne Rönnau 

Prof. Dr.-Ing. Arne Rönnau is Professor at the Institute for Information Management in Engineering and Director of the Machine Intelligence and Robotics Lab. His research integrates computer science, electrical engineering, and mechanical engineering to develop next-generation intelligent machines. By combining physical system models with modern machine learning, his work enhances efficiency, autonomy, and performance of robotic systems. Key research areas include design concepts for intelligent machines, machine perception and situational awareness, and autonomous robotic action. Previously, he led the FZI Living Lab Service Robotics, advancing applied robotics research in real-world environments.

Who should attend 

This course is ideal for:

  • Engineers and researchers in autonomous driving, robotics, and ADAS.
  • Systems and software engineers working on perception, decision, and planning.
  • Project teams evaluating semi‑autonomous assistance and cognition in vehicles.
  • Early‑career professionals seeking a structured foundation in autonomous control.

Advance your career with KIT-level expertise 

Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth

Flexibility 

Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.

Relevance

Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.

Advancement

Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.

 

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About HECTOR School 

HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.

For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.