|Default Date:||Every Thursday|
|Default Time:||14:00 to 16:00|
|TU-CAN:||20-00-0630-os Intelligente Autonome Systeme Oberseminar|
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 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 ThesesStudents 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.
|23.09.2021||14:00-15:00||Beren Millidge (Oxford), Invited Talk: Perspectives on Active Inference for continuous control in POMDPs||http://tiny.cc/7askoz|
|15:00-15:30||Mattis Kaemmerer, M.Sc. Thesis Defense: Measure-Valued Derivatives for Machine Learning|
|15:30-16:00||Cedric Derstroff, M.Sc. Thesis Defense: Memory Representations for Partially Observable Reinforcement Learning|
|28.09.2021||17:00-18:30||Fabio Muratore, Ph.D. Thesis Defense: Randomizing Physics Simulations for Robot Learning||http://tiny.cc/7askoz|
|30.09.2021||14:00-15:00||Davide Tateo, Research Talk: Robot Air Hockey||http://tiny.cc/7askoz|
|15:00-15:30||Hassan Wahba, B.Sc. Thesis Defense: Deep Object-centered Heuristic for Robot Planning|
|15:30-15:50||Mohammed Amin Ali, B.Sc. Thesis Defense: An Educational Framework for Robot Learning|
|21.10.2021||15:00-15:45||Andy Morgan (Yale), Invited Talk: Challenges of in-hand manipulation||http://tiny.cc/7askoz|
|25.10.2021||18:30-21:30||Stefan Loeckel, Ph.D. Thesis Defense: Machine Learning for Modeling and Analyzing of Race Car Drivers||http://tiny.cc/7askoz|
|4.11.2021||15:30-17:30||Hany Abdulsamad, Ph.D. Thesis Defense: Machine Learning of Hybrid Dynamics and Control||http://tiny.cc/7askoz|
|11.11.2021||14:00-15:00||Carlo D'Eramo, Research Talk: Projected Bellman operator for sample-efficient model-free RL||http://tiny.cc/7askoz|
|15:00-15:30||Nick Heppert, M.Sc. Thesis Defense: Articulated Object Tracking for Robot Manipulation|
|18.11.2021||14:00-15:00||Joni Pajarinen, Research Talk: Reinforcement Learning under Partial Observability||http://tiny.cc/7askoz|
|15:00-15:15||Chen Xue, M.Sc. Intermediate Presentation: Task Classification and Local Manipulation Controllers|
|15:15-15:30||Lei Xu, M.Sc. Intermediate Presentation: Integrated AI planning for general-purpose robot manipulation|
|19.11.2021||15:00-17:00||Michael Lutter, Ph.D. Thesis Defense: Inductive Biases for Machine Learning in Robotics and Control||http://tiny.cc/7askoz|
|16.12.2021||14:00-15:00||Oleg Arenz, Research Talk: Hierarchical Learning: What is Missing?||http://tiny.cc/7askoz|
|13.01.2022||14:00-14:30||Lei Xu, M.Sc. Thesis Defense: Integrated AI planning for general-purpose robot manipulation||http://tiny.cc/7askoz|