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 / 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:

StudentAdvisorTypeTopic
Jiahui ShiJunning HuangM.Sc.Hybrid Force-Impedance Control for Robot Manipulators
Haris CavkicSuman Pal from IAS, Aiswarya Menon from IASM.Sc.Flow Matching for Industrial Motion Planning: Learning Trajectory Distributions for Real-World Applications
Vojin VlačićCristiana Mirandade Farias, Alap Kshirsagar, Tim SchneiderM.Sc.Active Exploration for Bimanual Grasping
Keagan HolmesAhmed HendawyM.Sc.Sharing Multimodal Behaviors in Multi-Task Reinforcement Learning through Diffusion Models
Yiyang WangSiwei Ju from IASM.Sc.Benchmarking Reinforcement Learning and Control Methods on F1Tenth Car Model
Zhijingshui YangJunning Huang from IAS, Jiayun Li from PEARLM.Sc.Hybrid Force–Impedance Control for Robotic Household Manipulation
Mustafa KamalMichael Drolet from IASM.Sc.Learning-based Methods for Gait Cycle Phase Prediction
Habib MaraqtenTheo VincentM.Sc.Sample-efficient gradient reinforcement learning
Matteo PrincisghDavide Tateo, Joao Carvalho from IAS, Matteo Lupperto from Università degli Studi di MilanoM.Sc.Learning to Plan
Wenbin SunJunning Huang, Yichen CaiM.Sc.Contact Force Estimation for Robotic Manipulation
Shihao LiTheo Gruner, Puze Liu, and Maik PfefferkornM.Sc.Relative Entropy Adaptive Domain Randomization
David LangCristiana Mirandade Farias, Kay PompetzkiM.Sc.Stochastic Skill Blending via Generative Models
Ansh PrakashJoao Carvalho from IASM.Sc.Episodic Flow RL
Xiaoqi ZhouJoao Carvalho, Niklas Funk from IASM.Sc.Bimanual Action Flow
Hannah KnodelKai Ploeger from IASB.Sc.Investigating the Role of Feedback in Reinforcement Learning-Based Robot Juggling
Artur ZelikMichael Drolet from IAS, Firas Al-Hafez from IASM.Sc.Language-guided Robot Motion Synthesis
Jan GröpperClaudius Kienle from IASB.Sc.Learning Samplers for Task and Motion Planning
Pablo CandelasClaudius Kienle from IASM.Sc.Reward Shaping for Symbolic Reinforcement Learning
Bora BüyükbasLucas Schulze, Oleg ArenzB.Sc.Open-World Reinforcement Learning
Paul KnaußtCristiana Mirandade Farias, Kay PompetzkiM.Sc.Hierarchical Planning for Object Arrangement
Ahmad HamadLeon Keller from IASB.Sc.Hierarchical Imitation Learning
Alina BöhmOleg Arenz from IAS, Zihan Ye from AIMLM.Sc.Differentiable Forward Reasoning for Optimizing Skills and Learning Predicate Classifiers
Marco MeeseTheo Gruner, Sophie LuethB.Sc.Foundation Models for Actuator Dynamics
Faran AhmadClaudiusKienle from IASM.Sc.Learning Symbolic Domain Models with SLMs for Hierarchical Planning
Matej Zoltan SuvertKay Pompetzki and Cristiana Mirandade Farias from IASB.Sc.Reactive Impedance Control on General Manifolds
Julian Ferrer RodriguezKay Pompetzki and Cristiana Mirandade Farias from IASM.Sc.Distribution-Guided Policy Blending for Reactive Motion Planning
Noah BeckerTim Schneider and Kay Pompetzki from IASM.Sc.Prediction and Control of Slip Velocity in Robotic Grippers Using Transformer-Based Fusion of Visuotactile, Image, and IMU Data
Fabian HahneCristiana Mirandade Farias, Alap Kshirsagar, Vignesh PrasadM.Sc.Vision-Language-Action Models with Intrinsic Motivation

Ongoing IP Projects

TopicStudentsAdvisor
Who is Adam? Non-Stationary Optimizer Dynamics in Reinforcement LearningYichen Feng, Shili ZhangAryaman Reddi
Memory-RL: A High-Performance JAX Library for Memory-Augmented Reinforcement LearningNoah Farr, Arne BacksteinAryaman Reddi, Mahdi Kallel from LiteRL
Robotic Knot UntanglingTim Missal, Tom Roehner, Gina Leonie WigginghausBerk Gueler from IAS
Long Horizon Shared AutonomyZhihao Han, Yuchao Wu, Ahmad HamadBerk Gueler from IAS
Developing Distributional Gradient-TD Learning MethodsKevin GerhardtTheo Vincent
3D Reconstruction Using Gaussian SplattingsShuai LiYichen Cai, Cristiana Farias
Learning a Primitive-VLA using RLYulia Belyaeva, Bjarne FreundClaudius Kienle, Ken Simmoteit
Legged Robot Localization under Uncertain DynamicsJad DayoubLucas Schulze
Simulation of Vision-based Tactile SensorsDuc Huy NguyenTim Schneider, Alap Kshirsagar, Guillaume Duret
Residual VLA Fine-Tuning with Coherent RewardsChristian SchererTheo Gruner, Daniel Palenicek, Joe Watson
Learning Tactile Insertion in the Real WorldDheeraj Reddy Jada, Philipp Nepomuk Maybach, Xusong Yin, Arwin ZamanzadehTim Schneider from IAS, Janis Lenz from IMS, Theo Gruner from IAS, Daniel Palenicek from IAS
Tactile Pole BalancingBárbara Fernandes Dias Bueno, Victor Pedreira Santos Pepe, Thiago Daquino VelasquezTim Schneider, Niklas Funk
Imitation Learning for Vineyard ManagementRui Li, Nick Göckel, Fawad HussainTim Schneider, Kay Hansel, Erik Helmut
Articulated body dynamics network for in-hand manipulationJonathan Frey, Kaan Yilmaz, Lam NguyenLucas Schulze, Cristiana Miranda de Farias?
Learning to Navigate with RLTim Althaus, Moritz WillimowskiJoao Carvalho, Davide Tateo, Matteo Princisgh from Uni Milan
Real-World Trust Region Inverse Reinforcement LearningMohammed Saeed
Real-World Trust Region Inverse Reinforcement LearningSanthosh G S
Embodiment-aware universal humanoid policyKevin Händler, Maryana Smirnova, Ivan SmirnovNico Bohlinger, Michael Drolet
JENGA! Learning Hierarchical Tactile PoliciesTimur Uttsal, Kim Thanh Le Hoang, Boris OhmerCristiana Mirandade Farias, Erik Helmut, Tim Schneider
Tactile Slip ControlDavid Reiter, Pranshu Gupta, Thang Khuc, Varshika ShrivastwaNoah Becker, Tim Schneider, Kay Pompetzki
Context-Aware DeLaN for ExoskeletonsJona Hoppe, Maximilian SchwarzLucas Schulze
LeWerkzeugkasten 1 - Assemble using toolsMartin Carlsen, Fabian BuchenbergerTheo Gruner, Ken Simmoteit, Erik Helmut, Kay Pompetzki
LeWerkzeugkasten 2: Learning latent action spaces for imitation learningEmil Sivic, Jonathan Sutphen, Christian KubitzekTheo Gruner, Ken Simmoteit, Erik Helmut, Kay Pompetzki
Real-World Trust Region Inverse Reinforcement LearningYichen Feng