|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.
|4.06.2020||14:00-14:30||Yang Weng (U. Tokyo), Invited Talk: Reinforcement Learning Based Underwater Wireless Optical Communication Alignment for Multiple Autonomous Underwater Vehicles||http://tiny.cc/7askoz|
|11.06.2020||14:00-14:45||Herke van Hoof (UVA), Invited Talk: Learning heuristics for combinatorial optimization||http://tiny.cc/7askoz|
|14:45-15:15||Stephane Tekam, M.Sc. Thesis defense: Policy Optimization via Gaussian Mixture Model|
|18.06.2020||17:00-17:45||Roberto Calandra (Facebook), Invited Talk: Rethinking Model-based Reinforcement Learning||http://tiny.cc/7askoz|
|25.06.2020||14:00-14:45||Philip Becker-Ehmck, Research Talk: Deep Onboard Quadcopter Control via Model-Based Reinforcement Learning||http://tiny.cc/7askoz|
|2.07.2020||14:00-14:45||Simon Guist, Research Talk: Hindsight State Manipulation||http://tiny.cc/7askoz|
|9.07.2020||14:00-14:45||Jens Kober (TU Delft), Invited Talk: Robots Learning [Through] Interactions||http://tiny.cc/7askoz|
|17.07.2020||14:00-15:00||Michael Gienger (Honda Research Institute), Invited Talk: Dexterous Cooperation||S02|02 E202|
|23.07.2020||14:00-14:20||Alexander Klein, M.Sc. Thesis Defense: Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors||http://tiny.cc/7askoz|
|30.07.2020||14:00-14:45||Takayuki Osa (Kyushu U), Invited Talk: Motion Planning by Learning Latent Representations||http://tiny.cc/7askoz|
|6.08.2020||14:00-14:45||Andras Kupcik (BCAI), Invited Talk: Fast Learning and Sequencing of Object-centric Robot Manipulation Skills||http://tiny.cc/7askoz|
|13.08.2020||17:30-18:15||Abdeslam Boularias (Rutgers U), Invited Talk: Model Identification for Robotic Manipulation||http://tiny.cc/7askoz|
|20.08.2020||14:00-14:30||Okan Koc (Amazon), Invited Talk: Safe Learning Control: What is out there and what is not?||http://tiny.cc/7askoz|