- Off-road area: Introduction to challenges and robotic systems for unstructured environments
- Hardware: Robust hardware systems and interfaces, emergency stop
- Sensors: Sensor and measurement principles for environment detection of autonomous off-road robots, measurement errors and their effects
- Perception design: Building robust and adaptive perception systems
- Algorithms: Algorithms for classification and navigation
- Architectures: Overview of different architectures and their performance in off-road environments
- Safety: Fundamentals of safety engineering and approaches to ensuring the safety of robotic and AI systems
- Understanding and communicating problems and challenges of autonomous off-road driving,
- Designing and building reliable autonomous off-road systems,
- Explain relevant environmental characteristics for perception algorithms,
- Identify typical causes and situations for off-road errors,
- Evaluate the potential consequences of perception errors and develop strategies to avoid errors,
- Apply algorithms for autonomous off-road driving,
- Understanding the characteristics of perceptual architectures and analyzing their influence on perceptual performance,
- Taking measures to safeguard the perception and autonomy software against errors.
