Explainability and Robot Learning Seminar at Knowledge Technology
12 May 2023
The Knowledge Technology group is holding the seminar “Explainability and Robot Learning”, promoted by the Horizon Europe project TERAIS (Towards Excellent Robotics and Artificial Intelligence at a Slovak university). 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.
This TERAIS twinning project is a collaboration between the Knowledge Technology group at the University of Hamburg and its partner institutions: the Department of Applied Informatics at Comenius University in Bratislava, and the Italian Institute of Technology in Genoa. Through this partnership, we aim to promote research and institutional excellence in artificial intelligence and robotics at the participating institutions. The project fosters joint research in the areas of artificial intelligence, cognitive robotics, and human-robot interaction, with a focus on three main pillars: 1) trustworthiness in robots, 2) human-aware robots, and 3) explainable robots. More information about the TERAIS project is available on the official website: https://terais.eu/.
Date: May 16th, 2023, 14:00 – 17:45
Place: Department of Informatics, University of Hamburg (Building F, Room: F-132)
|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|
|16:45||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|