Apostolos Tsagaris

Work place: Department of Industrial Engineering and Management, International Hellenic University, Sindos Thessaloniki, 57400, Greece

E-mail: tsagaris@ihu.gr


Research Interests:


Apostolos Tsagaris is Professor in Robotics, CAD/CAM/CAE and mechatronic systems in the Department of Industrial Engineering and Management at International Hellenic University of Thessaloniki, Greece and he is the Head of the department. He has many years of experience in the field of industry where he collaborated with major Greek and foreign industries. He is a certified trainer at the National School of Public Health, the Ministry of National Defense, the School of Management of Staff of the Ministry of Economy and Finance and the Institute for Training of the National Center for Public Administration. He has published more than 85 scientific papers at conferences and journals. He also holds a patent titled "Method for real time control of mechatronic systems through Dynamic gestures". He has published a book and has written a number of lesson notes. Finally, he has participated in over 20 research projects.

Author Articles
Cost-effective Robotic Arm Simulation and System Verification

By Apostolos Tsagaris Charalampos Polychroniadis Anastasios Tzotzis Panagiotis Kyratsis

DOI: https://doi.org/10.5815/ijisa.2024.02.01, Pub. Date: 8 Apr. 2024

In recent years, the utilization of virtual environments in industry 4.0 has witnessed significant growth, particularly in the design, implementation, and management of robotic systems. This paper addresses the need for enhanced control in robotic arms by presenting the design and implementation of a 5DoF robotic arm transformed into a digital platform through specialized software. The methods employed involve detailed direct and inverse kinematic modeling to replicate the physical arm in a digital environment. Our measurements indicate an impressive accuracy ranging from 97% to 100% in the movements of the digital model, closely mirroring its physical counterpart. This research not only contributes to the development of simulation systems but also holds promise for the broader adoption of digital twins. The paper discusses the background, outlines the methodology, highlights key findings, and concludes with the potential future impact of this work on the advancement of robotic systems and simulation technologies.

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