The drone used at the AerodrOHM currently localizes via external markers. The goal is a markerless, GNSS-free indoor localization using only onboard sensors (visual-inertial odometry / SLAM), building on the existing platform.

Construction of an omnidirectional mini-robot with Mecanum drive, LiDAR and web interface as a low-cost training platform.

Game-based human-robot interaction with the UR12e at TTZ Nürnberger Land: Tic-Tac-Toe with camera-based board detection, game logic and safe robot control as an approachable robotics demo — optionally extendable to chess.

Commissioning of the Reachy Mini (Pollen Robotics) at TTZ Nürnberger Land and development of an HMI application for natural human-robot interaction — e.g. visitor system, speech interaction, or emotional expression.

Comparison of centralised and decentralised (emergent) coordination strategies for heterogeneous robot fleets in production environments. Simulation in ROS 2 / Gazebo, multi-agent reinforcement learning, validation on real hardware at TTZ.

Analysis, technical revision, and recommissioning of a mobile C-arm robot with mecanum drive, including possible mechanical modifications and validation of system and driving behaviour.

Building a 2R robot arm with BLDC motors as an M-IAS lab experiment: model-based gravity compensation and reinforcement learning demo with ROS integration and simulation support.

Survey of SMEs in the Nürnberger Land region on the adoption of new technologies (AI, robotics, automation). Methodical preparation of surveys and expert interviews, evaluation and classification of results.

Development of an automated charging setup for Crazyflie drones: precise landing planning on wireless charging pads, mechanical adaptation via 3D printing, and integration into the automated swarm operation.

Coordinated light image generation with Crazyflie drone swarms through predefined flight patterns and long-exposure photography. Trajectory planning, collision avoidance and synchronisation at AerodrOHM.