Industrial Robotics
Work description
The objectives of this work plan are essentially focused on designing collaborative robotics systems, centered on the human operator, capable of assisting them in performing multiple complex tasks, with the ability to evolve and adapt to new objects/products over time. To this end, the objectives are: • Study computer vision solutions applicable to industrial robots. • Explore artificial intelligence tools, including Deep Learning and Generative AI. • Implement and test the different selected methods, with a view to their application. • Design modular software that allows a robotic manipulator to perform tasks such as handling, inspection, and/or (dis)assembly of products, enabling the robot to generalize its behavior to new products. • Develop quick configuration interfaces so that non-specialized operators can easily configure the system. • Create training materials on the topic, with the aim of meeting training needs and promoting the actual adoption of these solutions by the companies in the sector involved in the project.
Academic Qualifications
Master's Degree in Electrical and Computer Engineering, or Computer Engineering.
Minimum profile required
Experience in industrial robotics, computer vision, and AI systems. Knowledge of the ROS framework, Yolo and TensorFlow libraries, and the ONNX ecosystem. Proficiency in C++ and Python programming languages.
Preference factors
Experience generating synthetic data sets for training AI models and applying them to robotics. Relevant experience programming industrial robots from Universal Robot and Kuka.
Application Period
Since 28 Jul 2025 to 08 Aug 2025
Centre
Robotics in Industry and Intelligent Systems