|Default Date:||Every Friday|
|Default Time:||14:00 to 16:00|
Our internal talk series (aka the Oberseminar Intelligent Autonomous Systems) covers current research topics of the Intelligent Autonomous Systems (IAS) group at the TU Darmstadt. It will include invited talks by famous machine learning researchers from all over the world, presentations of IAS members on their current research, presentations by alumni of IAS at well-known companies and universities, final presentations of all Bachelors, Masters and Ph.D. theses which have been completed at IAS ... and probably much more.
This schedule will be updated regularly. Please check it before the meeting. If you want to get reminders, please subscribe at https://mail.ias.informatik.tu-darmstadt.de/mailman/listinfo/talks to our talks mailing list. Also, you can subscribe to our Google Talks Calendar at this link!
Policy on pre-PhD student thesis talks: To ensure quality and to meet time constraints, we suggest BSc and MSc intermediate reports to be no longer than 10 minutes, with 10 minutes of additional question time. Final reports will be 20 minutes plus 10 minutes for questions. Details can be found on the thesis students page. Other talks to be no longer than 40 minutes with an additional 5 minutes for questions. Additionally, we'll have an informal 'seminar chair' who streamlines the Q&A session.
|1.12.2023||16:00-18:00||Vignesh Prasad, Ph.D. Thesis Defense: Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking||http://talks.robot-learning.net|
|15.12.2023||14:00-15:00||Kay Hansel, Research Talk: Hierarchical policy blending for reactive robot control||http://talks.robot-learning.net|
|18.12.2023||13:00-14:00||Katerina Fragkiadaki (CMU Proffesor), Research Talk: Robot Learning with Generative Models: Training data creation, policy learning and test -time planning with image and action trajectory diffusion models.||A102|
|18.12.2023||16:00-18:30||Julen Urain, Ph.D. Thesis Defense: Deep Generative Models for Motion Planning and Control||A102|
|20.12.2023||14:00-14:30||Christian Hammacher, M.Sc. Thesis Defense: Object Pose Estimation and Manipulation from Pointclouds using Energy-based Models||http://talks.robot-learning.net|
|14:30-15:00||Philipp Seitz, M.Sc. Thesis Defense: Uncertainty Quantification for Vibration Time Series Forecasting|
|5.01.2024||14:00-14:15||Fabian Wahren, M.Sc. Intermediate Presentation: Adapt your network : Investigating neural network’s architecture in Q-learning methods.||http://talks.robot-learning.net|
|14:15-14:30||Sebastian Müller, M.Sc. Thesis Defense: Visual illusions in sensorimotor control – a reinforcement learning study|
|9.01.2024||17:30-18:30||Wil Thomason (RICE), Invited Talk: TBD||http://talks.robot-learning.net|
|12.01.2024||14:00-15:00||Tim Schneider, Research Talk: Active Haptic Exploration||http://talks.robot-learning.net|
|19.01.2024||14:00-15:00||Moritz Grosse-Wentrup (U. Wien), Invited Talk: Neuro-Cognitive Multilevel Causal Modeling - A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition||http://talks.robot-learning.net|