Drones

Competition 1: Indoor Mapping and Object Detection Result: 2nd place (London, August 2024) Tasks: Mapping the Environment - Construct a map using two drones, navigating various hazards.Object Detection - Detect and note positions of objects like hazardous containers and injured mannequins.Aid Delivery - Deliver aid packages to mannequins at specific locations.Team Klagenfurt: Gilbert TannerLuca Di PiernoGeorg SteinthalerTim SchumannBen WesseJonas SpielerSupervisor: Prof. Stephan WeissThe competition occurred on 29th-30th August 2024 in London and Team Klagenfurt was able to solve all three tasks as specified above. To navigate the indoor environment we made use of ICP odometry based on RTABMAP fusing PointCloud data from the 3d lidar and depth camera. The environment was explored using 3d frontier exploration. ...

This project presents a multi-mission transformer robot capable of operating both as a ground vehicle and a quadrotor drone. The design integrates constant-velocity (CV) joints, slip rings, and a servo-driven lifting mechanism to enable seamless transformation between driving and flying modes. We also utilize the dual-use wheel-propeller system, where each wheel houses a brushless drone motor (BLDC) and propeller. This allows the same structure to serve as a rolling surface in ground mode and as an active rotor in drone mode, minimizing redundant components. ...