Aspragathos Nikolaos

Academic position: Professor
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Biographic Notes

Professor Nikos A. Aspragathos leads the Robotics Group Mechanical and Aeronautics Engineering Department, University of Patras. Electrical Engineering degree (1975) and PhD (1982) from the School of Electrical Engineering, University of Patras, Greece. He joined Greek industrial companies as a construction and maintenance Engineer (1976-1980). In 1982, he was appointed Lecturer in Mechanical and Aeronautics Engineering Department, University of Patras. He was a visiting member of the staff in University of Newcastle (1983), UWIST, Cardiff (1987 to 1988), and CEA-LIST, Laboratoire de Robotique Interactive, Fontenay-aux-Roses, Paris (2011-2012). He gave invited lectures and seminars in well known universities and research institutes. He supervised seven finished PhD and a considerable number of fourth and final year student projects.

He has published about 200 journal and conference papers and book chapters. He is a reviewer in about 30 Journals and more than 20 conferences. Member of the editorial board of the Mechatronics Journal, ISRN Robotics and International Journal of Automation, and Control. He joined more than 20 Scientific or Organizing committees of conferences and organized two national robotic conferences. Proposals reviewer or Jury member in Greece and aboard. Member of Advisory Group for New Robotics Engineering Book Series, ASME Press.

He has been and is currently involved in research projects and Networks of Excellence (NE) funded by Greek and European Union sources. In most of the projects and in the NE he was the leader of the University of Patras team.

He is a member of committees and boards in administrative, scientific and social entities and associations.


Research Fields

Robot Mission Planning.

Motion planning based on Artificial Intelligence using Genetic Algorithms, Neural Networks, Multi-agent and Computational Geometry. Trajectory generation under accuracy constraints. Optimal robot motion planning in environments cluttered with obstacles. Optimal robot task scheduling. Robot fine motion in contact with the environment with applications in assembly. Manipulation of micro-parts. Parallel micro-assembly.

Robot Control.

Intelligent control for grasping of fragile objects. Hybrid adaptive and sliding mode force/position control. Intelligent robot control for manipulation of non-rigid objects and human-robot co-manipulation. Intelligent control for rehabilitation.

Design and Mechatronics

Knowledge-based systems for designing of mechatronic systems and devices. Introduction of new indices for the evaluation of design solutions. Design of metamorphic manipulators. Representation and transformation of object models based on line geometry and screw theory. Flattening of non-developable surfaces.

Modelling  of electromechanical systems.

Friction models and calculation of the fatigue life for gears and shafts. Backlash and stick-slip modelling and investigation. Computer Aided Design of electromechanical systems. Identification of cracks.


Undergraduate Study Program

Postgraduate Study Program