Nowadays, the complexity in the design of robotic systems increases exceptionally since human beings desire a higher level of intelligence and autonomy. The developed systems must be qualified of autonomously adapting to the variations in the operating environment while maintaining the overall objective to achieve tasks even in highly uncertain and unstructured environments. Such robotic systems must display the ability to learn from experience, adapt themselves to the changing environment, and seamlessly integrate information to-and-from humans.
Eligibility Criteria/ Scholarship Guidelines
Hold a Master's degree in Mechanical, Mechatronics, Electrical Engineering or related fields.
The strong background in control theory and robotics.
Outstanding verbal and writing skills in English with very good communication skills.
Experience in model-based control theory.
Hands-on experience in robotic systems.
Experience in Robot Operating System (ROS).
Concrete knowledge in C/C++ or Python.
Demonstration of research activities (conference or journal papers).