Robotics
Work description
- Conduct a survey of requirements for the development of a UAV for the indoor and outdoor scenario; - Development of Deep Learning algorithms for identifying pathologies in photovoltaic panels; - Development of Deep Reinforcement Learning algorithms for indoor and outdoor navigation maneuvers; - Development of a sensory payload that can be integrated into the developed prototype; - Implement the algorithms in the ROS framework. - Carry out preliminary flight tests with the developed UAV; - Exercise a critical spirit in evaluating the research process and the results obtained.
Academic Qualifications
Master's degree in electrical engineering, computer science, bioengineering or a related field.
Minimum profile required
Master's degree in Electrical Engineering and over 3 years of proven experience in developing robotic platforms in terms of hardware and software. Participation in scientific projects and writing scientific documents.
Preference factors
- Over 3 years of experience in developing robotic platforms, their conceptualization and design; - Robot operative system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms - Previous experience Deep Reinforcement Learning and Visual Inertial Odometry; - Previous experience in AutoPilot for UAV / UAS; - Previous experience in 3D modeling using Solidworks and Fusion; - Real-Time Operating Systems: FreeRTOS
Application Period
Since 12 Sep 2024 to 25 Sep 2024
Centre
Robotics and Autonomous Systems