The (online) workshop is organized by Hamburger Informatik Technologie-Center e.V. (HITeC) and Artificial Intelligence Center Hamburg e.V. (ARIC) on 9th, 16th, and 23rd April 2020. The focus of the workshop was on optimizing hyperparameters of deep learning models with Bayesian optimization.
My second internal workshop at HITeC was about deep learning with Pytorch and AutoML. I introduced the basics of deep learning and how to implement a classification problem in Pytorch. Then, I introduced one of the latest AutoML approach called BOHB for hyperparameter optimization.
Feb 7, 2020 10:30 AM
Hamburger Informatik Technologie-Center (HITeC), Hamburg, Germany
I jointly presented our paper On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks during the interactive section. Also, on the last day of the conference, I attended the Machine Learning in Robot Motion Planning workshop to present our work on Neural End-to-End Learning of Reach for Grasp Ability with a 6-DoF Robot Arm.
I presented 3 posters at ICRA main conference, Workmate workshop and PhD forum.
The first presentation was “Emorl: Continuous acoustic emotion classification using deep reinforcement learning” at ICRA 2018.
I also presented “Learning spatial representation for safe human-robot collaboration in joint manual tasks” at the Workmate workshop at ICRA 2018.
May 22, 2018 3:00 PM
The Brisbane Convention & Exhibition Venue, Brisbane, Australia
I presented our work on Deep Reinforcement Learning using Symbolic Representation for Performing Spoken Language Instructions at 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR). This workshop was part of the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
Abstract: Spoken language is one of the most efficient ways to instruct robots about performing domestic tasks. However, the state of the environment has to be considered to successfully plan and execute the actions.
Abstract: In the future, robots are expected to work as a companion with humans in various areas ranging from service robots to humanoid robots. Dynamic and unpredictable human/domestic environments force developers to improve safety for human-robot cooperation.