Industrial Robotics
Work description
• Prepare a comprehensive literature review on robotic grasping and binpicking techniques with exclusive use of machine learning and intelligence artificial. • Develop a grasping pipeline integrated with ROS, aimed at tasks of bin-picking with support for AI algorithms. • Acquire practical skills in using the Omniverse simulator, focusing on simulation of robots and evaluation of grasping algorithms. • Perform experimental tests in a simulated environment and with a physical robot, whenever possible. • Write the scholarship activity report, documenting developments and results achieved. • Contribute to projects that require grasping activities in robots. • Prepare and submit a scientific paper to a relevant conference or journal in the robotics or AI area
Academic Qualifications
Bachelor's Degree in Electrical and Computer Engineering or similar areas
Minimum profile required
Enrollment in the Master's course in Electrical Engineering, EngineeringInformation Technology or related areas;• Experience in programming in C/C++ and/or Python languages;• Familiarity with machine learning models and frameworks (machinelearning).
Preference factors
430 / 5 000 Preference will be given to candidates who demonstrate: • Participation in extracurricular activities related to robotics, automation or similar technological areas; • Knowledge of Artificial Intelligence frameworks (such as TensorFlow, PyTorch, etc.); • Experience with the Robot Operating System (ROS); • Knowledge of computer vision; • Experience with NVIDIA tools such as CUDA, Omniverse or Isaac Yes;
Application Period
Since 02 May 2025 to 15 May 2025
Centre
Robotics in Industry and Intelligent Systems