Industrial Robotics
Work description
The field of robotics has seen significant advances in recent years, such that current robotic manipulators can perform complex tasks in various use cases. The interaction between humans and robots is a central piece of any robotic system. This grant aims to investigate the design and implementation of an intelligent robotic programming module in medical rehabilitation situations. The objective is to use the KUKA LBR iiwa, a commercial robotic arm, to allow control of a patient's arm, helping to carry out the trajectory or implementing resistance to movement Thus, the work of this fellowship will involve: • Acquire values ??from the robot's sensors or/and add extra sensors to obtain all the necessary information about the status of the robot arm. • Develop the software for the intelligent robotic programming module: implement algorithms (e.g. based on machine learning) for adaptive rehabilitation exercises • Test and evaluate the human-robotic interface in a controlled environment, taking into account factors such as task performance and accuracy and operator comfort • Control the robotic manipulator with the developed API
Academic Qualifications
Candidate must be enrolled in a Degree course in Electrical Engineering, IT, or related areas
Minimum profile required
- Candidate must be enrolled in a Degree course in Electrical Engineering, IT, or related areas- Candidate must have experience in Java programming.- Candidate must have knowledge of ROS.
Preference factors
• Experience in MCU and FPGA programming is valued. • Participation in extracurricular activities in the area of ??digital systems is valued. • Ease of working with national and international teams.
Application Period
Since 07 Nov 2024 to 20 Nov 2024
Centre
Robotics in Industry and Intelligent Systems