RoboSapiens

Aristotle University of Thessaloniki, AUTH

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AUTH will contribute to developing Machine Learning-driven processes and modules of the MAPE-K loop particularly, monitoring, state analysis, learning and adaptation following the uncertainties.

  • Lead in Work Package 2 – Enabling Open-Ended Safe Self-Adaptation

With a groundbreaking research such as an experience on Deep Learning (DL) for robotics, perception and human poses estimation, adapting DL algorithms, active perception, and how DL models generalized to handle unexpected situations, the Computational Intelligence and Deep Learning research group (CIDL) from AUTH will contribute to specifying, developing and deploying Machine Learning-driven processes and modules of the MAPE-K loop particularly, monitoring, state analysis, learning and adaptation following the uncertainties.

Contact details

Asset 25

Prof. Anastasios Tefas

o email: tefas@csd.auth.gr
o tel.:+30 2310 991932
o 16 Eth. Antistaseos Street 55133, Kalamaria – Thessaloniki, Greece

Team members involved in RoboSAPIENS

Anastasios Tefas
Professor

Nikolaos Passalis
Post-doctoral researcher

Pavlos Tosidis
PhD Student

Thodoris Manousis
PhD Student

Nikolaos Nikolaidis
Associate Professor of Informatics

Dimitrios Katsikas
Researcher

Vasileios Moustakidis
Researcher

Vasileios Kanatas
Researcher

Dimitrios Akrivousis
Researcher

Eleni Chantzi
Administrative and Project Management Personnel