Technik- und Ingenieurwissenschaften
Technische Universität Darmstadt
Georgia Chalvatzaki is a research group leader of the intelligent Robotic Systems & Assistants (iROSA) group at TU Darmstadt. Dr. Chalvatzaki is a world-leading junior researcher developing novel methods for assistive robots using machine learning and classical approaches. Her scientific insight regarding human-robot interaction (HRI) with learning and planning is considered one of the most promising approaches to allow robots to leave the structured lab environments and enter our houses through her primary focus on embodied AI of robot assistants. Dr. Georgia Chalvatzaki developed methods for human motion and action prediction; while her work on interactive Reinforcement Learning for HRI enabled the planning of human-adaptive robot behaviors. She has recently been accepted into the Emmy Noether Program for Artificial Intelligence of the DFG – only 9 out of 91 proposals were selected for funding. It enables outstanding young scientists to qualify for a university professorship by independently leading a research group over six years. Her proposed research focuses on “Robot Learning of Mobile Manipulation for Intelligent Assistance,” studying new methods at the intersection of Machine Learning and Classical Robotics, taking one step further the research for embodied AI robotic assistants. The research in iROSA proposes novel methods for enabling mobile manipulator robots to solve complex tasks in house-like environments, with the human-in-the-loop of the interaction process.
Fragestellungen im Themenfeld Künstliche Intelligenz
My fundamental research question considers how to enable embodied-AI systems, i.e. robots, to acquire skills for performing assistive tasks in human-inhabited environments, introducing novel methods at the intersection of robotics and machine learning for mobile manipulation for intelligent human-centered assistance.