|Default Date:||Every Friday (from Oct 2021 on)|
|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.
|7.10.2022||14:00-14:15||Mark Baierl, M.Sc. Intermediate Presentation: Score-Based Imitation Learning||http://talks.robot-learning.net|
|14:15-14:30||Paul-Otto Müller, M.Sc. Intermediate Presentation: Learning Interpretable Representations for Visuotactile Sensors|
|14:30-15:00||Georgia Chalvatzaki, Research Talk: Shaping Robotic Assistance through Structured Robot Learning||S202|E202|
|15:00-15:30||Daljeet Nandha, M.Sc. Thesis Defense: Leveraging Large Language Models For Autonomous Task Planning||http://talks.robot-learning.net|
|13.10.2022||10:00-11:00||Takayuki Osa (University of Tokyo), Invited Talk: Objective function with multiple extrema in robot learning||B002 and http://talks.robot-learning.net|
|14.10.2022||14:00-14:20||Pascal Herrmann, M.Sc. Intermediate Presentation: 6D Pose Estimation and Tracking for Ubongo 3D||http://talks.robot-learning.net|
|14:20-14:40||Pascal Stenger, M.Sc. Intermediate Presentation: Advanced Monte-Carlo Tree Search for Planning|
|14:45-15:15||Shanding Gu, Research Talk: Safe Reinforcement Learning for Multi- Robot Control|
|15:05-15:20||Xiangyu Xu, M.Sc. Intermediate Presentation: Visuotactile Grasping From Human Demonstrations|
|19.10.2022||13:00-14:00||3AI Lecture "Who I am" by Carlo D'Eramo: Multi-Task and Curriculum Reinforcement Learning||http://talks.robot-learning.net|
|21.10.2022||14:00-15:00||Dieter Buechler (MPIIS), Invited Talk: New developments at Learning Muscular Robots||http://talks.robot-learning.net|
|15:00-15:20||Daniel Musekamp, M.Sc. Thesis Defense: Amortized Variational Inference using GMMs for Inverse Kinematics|
|28.10.2022||14:00-14:45||Yunlong Song (UZH and ETHZ), Invited Talk: Reinforcement Learning for Agile Drone Flight||http://talks.robot-learning.net|
|4.11.2022||14:00-15:00||Siwei Ju, Research Talk: Imitating and outperforming professional race drivers||B002|
|11.11.2022||14:00-14:30||Théo Vincent, M.Sc. Thesis Defense: Paramaterized projected Bellman operator||http://talks.robot-learning.net|
|13.12.2022||13:00-15:30||Alexander Cowen-Rivers, Ph.D. Thesis Defense: Pushing The Limits of Sample-Efficient Optimisation||http://talks.robot-learning.net|