School of Electrical and Computer Engineering

Zoe Doulgeri

Zoe Doulgeri

Zoe Doulgeri

Short Bio

Zoe Doulgeri is a Professor of Robotics and Control of Manufacturing Systems and the director of the Automation and Robotics Lab of the Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki (AUTH). She received the diploma of Electrical Engineering from AUTH and an M.Sc. (DIC) in Control Systems, an M.Sc.(DIC) in Social and Economic Aspects of Science and Technology in Industry and a Ph.D in Mechanical Engineering, from the Imperial College, London, UK. She teaches Control Systems and Robotics. She authored more than 150 publications in peer-reviewed international journals and conferences. She is an evaluator of EU research and innovation proposals and projects and a reviewer in the most important robotics journals and conferences. She served as associate editor in the Journal of Intelligent and Robotic systems and the IEEΕ Robotics and Automation Letters. She has participated in many robotics projects financed by the EU and the Greek government. She is currently coordinating the H2020 European research project BACCHUS and she is leading the recently financed Horizon-Europe projects MANIBOT and SHEREC. She has been the representative of Greece in the European Control Association from 2016-2021. She is a senior member of the IEEE, the IEEE Robotics and Automation Society and the IEEE Control Systems Society.


Undergraduate Studies:
1980 Diploma in Electrical Engineering
Aristotle University of Thessaloniki, Greece
Postgraduate Studies:
1982 Control Systems
Imperial College & University of London, ΗΒ
Postgraduate Studies:
1983 Msc Imperial College & University of London, ΗΒ
Doctoral Diploma:
1987 Production Scheduling Policy for Flexible Manufacturing Systems
Imperial College & University of London, ΗΒ

Research Interests

  • Physical human Robot interaction
  • Robot Teaching/Learning by Demonstration
  • Bimanual mobile Robots
  • Object grasping and manipulation with control and Machine Learning methods
  • Control of Robotic systems
Electronics & Computers
Robotics, Planning and Control of Manufacturing Systems
Phone Number
Office Location
5th Floor, Building D, Faculty of Engineering
Cooperation Hours
OGG of Αppointment