Rita Raminhos

- Manage drone-based autonomous wind turbine blade inspection project. - Develop and test control logic for drone sensors and onboard hardware. - Lead the Software Team development and flight testing for the autonomous flight stack. - Present project progress and technical results to multiple stakeholders.

Internship project: Improve the trajectory prediction of the back transition of a fixed-wing VTOL drone, within the PX4 autopilot code base.

Organized meetings of the Aerospace Engineering students' association.

Air Cargo Challenge is an engineering competition, where students design, build and test model aircraft to fly and transport payload. Collaborated in composite manufacturing of the wing structure. Developed a MATLAB program to optimize the weight of the wing ribs using genetic algorithms. Validated the program using SolidWorks and ANSYS.

Thesis awarded 9.0/10: "Autonomous Aerial Sensor Network Placement in Rainforests: Exploration and Detection of Deployment Locations". Developed a ROS2 C++ exploration path planner and integrated with complete volumetric mapping and image detection pipeline, within Nvidia Isaac ROS environment. Validated on a custom quadrotor platform with a Nvidia Jetson board and RealSense camera. Elective courses: Intelligent Control Systems, Machine Learning for Robotics, Autonomous Flight of Micro Air Vehicles