The Faculty of Engineering and Sciences at University of Agder (UiA) has two joint PhD positions available within the fields of Artificial Intelligence, Deep Learning, Cooperative control and Collaborative robots. The positions are within the Norwegian Research Council’s Long-term research project "Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems (DEEPCOBOT)". Both two PhD positions are located at Campus Grimstad (Departments of Engineering Sciences and of Information and Communication Technologies), for a period of three years, or four years with 25% required duties. One of the PhD positions is scheduled to start in October 2020 while the other one in January 2021.
The overall goal of the DEEPCOBOT project is the design of a new generation of decentralized data-driven deep learning-based controllers for multiple coexisting collaborative robots (cobots), which can interact both between themselves and with human operators in order to collectively learn from each other’s experiences and perform cooperatively different complex tasks in a large-scale industrial process environment. The project is motivated by the increasing demand of automation in industry, especially the demand of a safer, more intuitive, more comfortable and more efficient collaboration between multiple cobots and human operators to integrate the best of human abilities (creativity, adaptivity, interaction) and robotic automation (speed, reliability, precision and inexhaustible task execution capability), while being robust across different environments and human operators. This project will lead to several important advances in the areas of machine learning, decentralized shared control for cobots, graph signal processing, design of cross-layer network protocols for distributed computation and collective intelligence across multiple cobots.
Further details:
Two PhD Research Fellow Positions at University of Agder