RSS Feed Source: Academic Keys
Job ID: 256554
INESC TEC | Research Initiation Grant (AE2025-0193)
INESC TEC
Research Opportunities
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
Click this link to continue reading the article on the source website.