We are always searching for good students and have many good opportunities. However, we are also open to suggestions by students as long as they touch the topics relevant to intelligent systems. > Click here for Offered Topics / Angebotene Themen < Note that these Theses are only for TU Darmstadt students who can directly contact Team Members for more information. For exceptional external students, we offer Theses as well, these need to contact Jan Peters by
jan.peters@tu-darmstadt.de first. Here is the list of currently ongoing theses:
| Student | Advisor | Type | Topic |
|---|
| Marcel Mittenbühler | Ahmed Hendawy, Carlo D'Eramo, Georgia Chalvatzaki | M.Sc. | Lifelong Robot Learning with Pretrained Multimodal Models |
| Joshua Johannson | Oleg Arenz | M.Sc. | Bipedal Locomotion on Bolt |
| Paolo Magliano | Davide Tateo from IAS, Raffaello Camoriano from PoliTo | M.Sc. | SafeLoco: Safe Reinforcement Learning for Robotic Locomotion |
| Marius Zöller | Kay Hansel and An Thai Le from IAS | M.Sc. | Enhancing Smoothness in Policy Blending with Gaussian Processes |
| Yi Li | Alexandre Chapin, Liming Chen, Emmanuel Dellandrea from LIRIS, Tim Schneider, Alap Kshirsagar | M.Sc. | Self-supervised learning of a visual object-centric representation for robotic manipulation |
| Jiahui Shi | Junning Huang | M.Sc. | Hybrid Force-Impedance Control for Robot Manipulators |
| Haris Cavkic | Suman Pal from IAS, Aiswarya Menon from IAS | M.Sc. | Flow Matching for Industrial Motion Planning: Learning Trajectory Distributions for Real-World Applications |
| Vojin Vlačić | Cristiana Mirandade Farias, Alap Kshirsagar, Tim Schneider | M.Sc. | Active Exploration for Bimanual Grasping |
| Khrystyna Rud | Alap Kshirsagar, Oliver Hahn | M.Sc. | Self-supervised Learning for Robotic Visuomotor Skills |
| Jonathan Lippert | Kai Ploeger, Alap Kshirsagar, Abir Chowdhury | M.Sc. | Human-Robot Partner Juggling |
| Tim Faust | Theo Vincent | M.Sc. | Eau De Soft Actor-Critic: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning |
| Christian Scherer | Daniel Palenicek, Theo Gruner, Joe Watson from University of Oxford | B.Sc. | Coherent Soft Imitation Learning for Vision-Language Action Models |
| Henrik Metternich | Ahmed Hendawy | M.Sc. | Value-based Reinforcement Learning via Mode Connectivity |
| Magnus Dierking | An Thai Le, Joao Carvalho | M.Sc. | Model Tensor Planning |
| Keagan Holmes | Ahmed Hendawy | M.Sc. | Sharing Multimodal Behaviors in Multi-Task Reinforcement Learning through Diffusion Models |
| Yiyang Wang | Siwei Ju from IAS | M.Sc. | Benchmarking Reinforcement Learning and Control Methods on F1Tenth Car Model |
| Michelle Saia | Aryaman Reddi from LiteRL/IAS, Nico Bohlinger from IAS | M.Sc. | Targetted simulator state resetting for sample-efficient reinforcement learning |
| Zhijingshui Yang | Junning Huang from IAS, Jiayun Li from PEARL | M.Sc. | Hybrid Force–Impedance Control for Robotic Household Manipulation |
| Mustafa Kamal | Michael Drolet from IAS | M.Sc. | Learning-based Methods for Gait Cycle Phase Prediction |
| Yusuf Bera Demirhan | Claudius Kienle | M.Sc. | Determining Optimal Viewpoints for Robust Segmentation of 3D Models |
| Yogesh Tripathi | Theo Vincent | M.Sc. | Off-policy Reinforcement Learning: following the value iteration path |
| Kevin Gerhardt | Theo Vincent | B.Sc. | Sample-efficient off-policy reinforcement learning with residual gradients |
| Matteo Princisgh | Davide Tateo, Joao Carvalho from IAS, Matteo Lupperto from Università degli Studi di Milano | M.Sc. | Learning to Plan |
| Topic | Students | Advisor |
|---|
| Robotic Knot Untangling | Tim Missal, Tom Roehner, Gina Leonie Wigginghaus | Berk Gueler from IAS |
| Long Horizon Shared Autonomy | Zhihao Han, Yuchao Wu, Ahmad Hamad | Berk Gueler from IAS |
| Controlling Humanoids by Natural Language | Ruixuan Ge, Khaled Sadeq | Claudius Kienle, Oleg Arenz |
| Motion Planning on Constraint Manifolds | Matej Zoltan Suvert, Philipp Schönfeld, Hangjian Qian | Cristiana Mirandade Farias, Kay Pompetzki |
| Hierarchical Semantic Segmentation of Human Demonstration Data | Daniel Neykov, David Lang , David Stebich, Paul Knaußt | Cristiana Mirandade Farias, Kay Pompetzki |
| Investigating neural network updates in Off-Policy Deep Reinforcement Learning | Habib Maraqten | Theo Vincent |
| Large-scale Procedural Robot Generation | Nurhak Yalcin, Lukas Müller | Nico Bohlinger |
