Modulbeschreibung

Attendees can:

• Present current state-of-the-art mobile robot systems
• integrate and use sensors, sensor systems to enable the autonomous behaviour of a mobile robot
• explain and use perception and feature extraction modules necessary for the functionality of an autonomous mobile robot
•  design and implement Kalman filter for sensor processing and navigation
• integrate GNSS system for reliable outdoor localisation tasks
• implement and evaluate navigation modules, including path planning, obstacle avoidance
• explain and apply control architectures and robotic frameworks

The course teaches the basics of autonomous mobile robots. Both hardware (energy, locomotion, sensors) and software (signal processing, control, localization, trajectory planning, high-level control) will be tackled. The students will apply the knowledge to program and control mobile robots. The module is divided into two sections, the first section handles ground robots: Differential drive vehicles, Ackermann steering vehicles and bi- and quadrupedal robots. The second section of the module focuses on uncrewed aerial vehicles (UAVs).

See course materials