PAL Robotics | Interview with Georgia Chalvatzaki
Georgia Chalvatzaki, independent research group leader at TU Darmstadt, discusses her path into robotics, her research plans, and the role of TIAGo++ in her lab’s work.
Georgia Chalvatzaki, independent research group leader at TU Darmstadt, discusses robot learning and mobile manipulation research with PAL Robotics’ host, including work with TIAGo and TIAGo++.
After studying electrical engineering in Athens and completing a PhD in assistive robotics, Chalvatzaki joined TU Darmstadt in 2019 as a postdoctoral researcher focused on robot learning. A high-school project on robotics helped set her career direction. She says supporting her family while studying made the path difficult, but she continued toward a research career.
Chalvatzaki received a six-year Emmy Noether grant from the German Research Foundation to establish her research direction, hire PhD students, and work with a TIAGo robot. Her group studies mobile manipulation by coordinating a robot’s base, arms, torso, and head for tasks such as opening doors and drawers. It also investigates predicting human intentions and making handovers safe and trustworthy.
In Skills for Robots, she worked on speeding up how robots learn manipulation tasks that have not been programmed in advance. RoboTrust introduced her to mobile manipulation in settings such as warehouses, while HEROS explores teleoperation and shared control with TIAGo. She describes TIAGo++’s two arms as useful for studying bimanual tasks and how human hand movements can guide a robot.
Chalvatzaki sees potential for mobile assistants to deliver medicine, help with care, and disinfect spaces, including during staff shortages or periods of isolation. Household tasks such as setting a table require both physical skills and decisions about task order. She identifies uncertainty, embodied perception, and the many possible ways to act in open environments as key challenges for the field.
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Georgia Chalvatzaki, independent research group leader at TU Darmstadt, discusses her path into robotics, her research plans, and the role of TIAGo++ in her lab’s work.
Georgia Chalvatzaki, a research group leader at TU Darmstadt and postdoc in Jan Peters’s Intelligent Autonomous Systems group, presents work on speeding up robot learning from demonstrations and learned models at the University of Toronto’s AI in Robotics Seminar.