Laboratory of Robotics and Automation
The Laboratory of Robotics and Automation, operating within the Department of Production and Management Engineering of the Democritus University of Thrace, conducts and promotes research in industrial and service robotics, autonomous systems, computer vision, artificial intelligence, and industrial automation. The laboratory develops innovative solutions addressing scientific and technological challenges associated with Industry 4.0, intelligent manufacturing, human-centred robotics, unmanned systems, and digital transformation. Through national and international research projects, it contributes to the advancement of robotics and intelligent technologies for industrial, transportation, healthcare, safety, and environmental applications.
Laboratory Details
Laboratory Title: Laboratory of Robotics and Automation
Faculty: Faculty of Engineering
School: Production and Management Engineering
Email:
Telephone:
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Introduction - Presentation
The Laboratory of Robotics and Automation, operating within the Department of Production and Management Engineering of the Democritus University of Thrace, conducts and promotes research in industrial and service robotics, autonomous systems, computer vision, artificial intelligence, and industrial automation. The laboratory develops innovative solutions addressing scientific and technological challenges associated with Industry 4.0, intelligent manufacturing, human-centred robotics, unmanned systems, and digital transformation. Through national and international research projects, it contributes to the advancement of robotics and intelligent technologies for industrial, transportation, healthcare, safety, and environmental applications.
Field of Research
The Laboratory of Robotics and Automation conducts research in robotics, artificial intelligence, computer vision, autonomous systems, machine learning, pattern recognition, human–robot interaction, industrial automation, unmanned aerial systems, intelligent sensing, digital twins, and Industry 4.0 technologies. Research activities focus on environmental perception, autonomous navigation, multimodal sensing, explainable AI, cyber-physical systems, and the integration of robotics with IoT, cloud computing, big data analytics, additive manufacturing, cybersecurity, and augmented reality.
Laboratory Members
| Name | Position/Capacity | Telephone | |
|---|---|---|---|
| Antonios Gasteraotos | Director | agaster@pme.duth.gr | +302541079359 |
| Angleos Isaac Amanatiadis | Faculty Member | aamanat@pme.duth.gr | +30 25410 79340 |
| Athnasios Psomoulis | Special Teaching Staff | apsomoul@pme.duth.gr | +30 25410 79327 |
| Athanasios Balafoutis | Special Teaching Staff | abalafou@pme.duth.gr | +30 25410 79892 |
| Vasilis Sevetlidis | Postdoctoral Researcher | ||
| Aikaterini Maria Oikonomou | Postdoctoral Researcher | ||
| Anastasios Agakidis | PhD Candidate | ||
| Michail Kosmidis | PhD Candidate | ||
| Stavros Moutsis | PhD Candidate | ||
| Nikolaos Santavas | PhD Candidate | ||
| Anastasios Taitzoglou | PhD Candidate | ||
| Kosmas Tsiakas | PhD Candidate | ||
| Christoforos Tsompanoglou | PhD Candidate | ||
| Sarantis Antoniou | PhD Candidate | ||
| Athanasios Chalvatzaras | PhD Candidate | ||
| Dimitrios Manolakis | PhD Candidate | ||
| Maria Siopi | PhD Candidate | ||
| Altzi Tsanko | PhD Candidate | ||
| Andreas Valvis | PhD Candidate |
Featured Research Programs
| Programme Title | Duration | Funding |
|---|---|---|
| Space-based Applications for Transport Monitoring and Management | 2024-2025 | Horizon Europe |
| Theseus Hub for Circularity | 2024-2029 | Horizon Europe |
| European Mining in the Green and Digital Era | 2022-2026 | Horizon Europe |
Featured Publications
| Chronological Order | APP | doi |
|---|---|---|
| Kosmidis, M., Kansizoglou, I., Chatzoglou, P. D., & Gasteratos, A. (2026). ViRtus: A Virtual Reality Application for Training and Performance Analysis. IEEE Transactions on Visualization and Computer Graphics. | 10.1109/TVCG.2026.3677532 | |
| Oikonomou, Katerina Maria, Ioannis Kansizoglou, and Antonios Gasteratos. "Spiking Neural Network Feature Discrimination Boosts Modality Fusion." IEEE Transactions on Cognitive and Developmental Systems (2025). | 10.1109/TCDS.2025.3642931 | |
| Oikonomou, Katerina Maria, Ioannis Kansizoglou, and Antonios Gasteratos. "A hybrid reinforcement learning approach with a spiking actor network for efficient robotic arm target reaching." IEEE Robotics and Automation Letters 8.5 (2023): 3007-3014. | 10.1109/LRA.2023.3264836 |
Infrastructure and Equipment
Patents
| Patent Title | Patent Number | Publication Date | Inventor/Company | Summary | URL |
|---|---|---|---|---|---|
| «Ολοκληρωμένο σύστημα διαχείρισης σημάτων σε κρίσιμες υποδομές με τη χρήση συσκευών υγεία και ασφάλειας» | ΟΒΙ-1010686 | 2024-05-13 00:00:00 |
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