Ongoing Theses
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! 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 peters@ias.tu-darmstadt.de first. Here is the list of currently ongoing theses:
| Student | Advisor | Type | Topic |
|---|---|---|---|
| Marius Zöller | Kay Hansel and An Thai Le from IAS | M.Sc. | Enhancing Smoothness in Policy Blending with Gaussian Processes |
| 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 |
| 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 |
| 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 |
| Habib Maraqten | Theo Vincent | M.Sc. | Sample-efficient gradient reinforcement learning |
| Matteo Princisgh | Davide Tateo, Joao Carvalho from IAS, Matteo Lupperto from Università degli Studi di Milano | M.Sc. | Learning to Plan |
| Wenbin Sun | Junning Huang, Yichen Cai | M.Sc. | Contact Force Estimation for Robotic Manipulation |
| Shihao Li | Theo Gruner, Puze Liu, and Maik Pfefferkorn | M.Sc. | Relative Entropy Adaptive Domain Randomization |
| David Lang | Cristiana Mirandade Farias, Kay Pompetzki | M.Sc. | Stochastic Skill Blending via Generative Models |
| Ansh Prakash | Joao Carvalho from IAS | M.Sc. | Episodic Flow RL |
| Lingjie Zhang | Joao Carvalho from IAS | M.Sc. | Lightning Fast Grasp and Motion Planning |
| Xiaoqi Zhou | Joao Carvalho, Niklas Funk from IAS | M.Sc. | Bimanual Action Flow |
| Hannah Knodel | Kai Ploeger from IAS | B.Sc. | Investigating the Role of Feedback in Reinforcement Learning-Based Robot Juggling |
| Artur Zelik | Michael Drolet from IAS, Firas Al-Hafez from IAS | M.Sc. | Language-guided Robot Motion Synthesis |
| Jan Gröpper | Claudius Kienle from IAS | B.Sc. | Learning Samplers for Task and Motion Planning |
| Pablo Candelas | Claudius Kienle from IAS | M.Sc. | Reward Shaping for Symbolic Reinforcement Learning |
| Bora Büyükbas | Lucas Schulze, Oleg Arenz | B.Sc. | Open-World Reinforcement Learning |
| Paul Knaußt | Cristiana Mirandade Farias, Kay Pompetzki | M.Sc. | Hierarchical Planning for Object Arrangement |
| Ahmad Hamad | Leon Keller from IAS | B.Sc. | Hierarchical Imitation Learning |
| Alina Böhm | Oleg Arenz from IAS, Zihan Ye from AIML | M.Sc. | Differentiable Forward Reasoning for Optimizing Skills and Learning Predicate Classifiers |
| Marco Meese | Theo Gruner, Sophie Lueth | B.Sc. | Foundation Models for Actuator Dynamics |
| Faran Ahmad | ClaudiusKienle from IAS | M.Sc. | Learning Symbolic Domain Models with SLMs for Hierarchical Planning |