I am a PhD candidate at the Automation and Robotics Lab, Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki.
My research interests include learning by demonstration and adaptation of complex robotic behaviours in dynamic environments, applications of differential geometry in robot control and robotic learning, control of bimanual robots for non-prehensile manipulation tasks, mechanical cutting executed by robotic manipulators and attitude control.
I have worked as a researcher at Horizon 2020 and Horizon Europe projects. I am an IEEE Member in RAS and CSS.
SHEREC is a project funded by the European Union’s Horizon Europe Research and Innovation programme. Its aim is to improve occupational health and safety in the ship recycling industry by integrating cutting-edge robotics, data, and AI systems. This is also a safeguard against contamination of the environment with hazardous substances.
My work: Control of a robot performing cutting tasks, learning by demonstration for robot cutting applications
MANiBOT aims to empower bi-manual, mobile, service robots with superior physical capabilities able to perform a wide variety of manipulation tasks, with highly diverse objects, in a human-like manner and performance, in diverse, challenging environments. The project seeks to revolutionise the robotics landscape by enhancing robot's handling skills, including simple grasping, pick-and-place operations, bi-manual and non-prehensile manipulation, and ensuring adaptive responses to changing environments or to the properties of objects.
My work: Design of non-prehensile unimanual and bimanual manipulation controllers, pushing controllers.
Smart, automated and selective harvesting, in particular, can provide considerable improvement in production leaving the unripe product in the field to mature. However, in order to achieve such automation significant progress is required regarding the cognitive and mechatronic capabilities of the robotic agents replacing the human workers in these tasks, especially in cases where human-like actions are required by the robots. BACCHUS intelligent mobile robotic system promises to reproduce hand harvesting operations, while at the same time take the manual legwork out by autonomously operating in four different levels:
My work: Theoretical work on orientation control and reaching controller to unveil a target grape cluster stem
The CoLLaboratE project built upon state-of-the-art methods for teaching the robot assembly tasks using human demonstration, extending them to facilitate genuine human-robot collaboration. Special attention was paid to providing effective safety strategies allowing the use of a fenceless approach within the production cell. As a result, closer collaboration was achievable and efficient production plans making optimal use of the available resources were designed and executed. The proposed solution was evaluated in four different pilot sites, implemented as collaborative factory floors of the industrial partners
My work: Design learning by demonstration methods, focusing on generalization and safety.
Control Systems I: Methods for control design of linear systems.
ECE AUTH, teaching assistant.
Control Systems III: Methods for control design of non-linear systems.
ECE AUTH, teaching assistant.