Explainability and Robot Learning Seminar

Photo: UHH/Knowledge Technology

16 May 2023 14:00 — 17:45
Department of Informatics, University of Hamburg (Building F, Room: F-132)
Vogt-Kölln-Straße 30<br>22527 Hamburg, Germany

The Knowledge Technology group at the University of Hamburg is holding the seminar “Explainability and Robot Learning”, promoted by the Horizon Europe project TERAIS. The seminar will bring together several international senior academics as well as younger researchers. During the seminar, multiple topics related to machine learning methods, robotic learning, and computer vision will be presented and discussed. The main audience of the seminar will be the project and scientific staff of the three partner institutes as well as M.Sc. and Ph.D. students. The seminar will take place in presence, with a hybrid mode for wider communication and dissemination.


Time Title Speaker Institution
14:00 Introduction / Overview Prof. Dr. Stefan Wermter UHAM
14:15 The Sensory-motor Bases of Interaction Dr. Alessandra Sciutti IIT
14:45 Bio-plausible Learning in ANN Dr. Kristína Malinovská UKBA
15:15 Integrating AI Methods for Robot’s One-shot Learning Dr. Andrej Lúčny UKBA
15:45 Evolutionary View on Robot Learning Dr. Pavel Petrovič UKBA
16:15 Break
16:45 Explainability and Interpretability of Deep Neural Networks Štefan Pócoš UKBA
17:00 Adversarial Examples in Deep Learning Iveta Bečková UKBA
17:15 3D Object Detection Dr. Viktor Kocur UKBA
17:30 Depth Map Super-Resolution for Robotic Vision Lukáš Gajdošech UKBA
17:45 Workshop end

See also the seminar page at the University of Hamburg website.