ROBOTICS

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 to 25 Sep Centre Robotics and Autonomous Systems Scientific Advisor André Dias