Offered Master- and Bachelors 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: These are only for TU Darmstadt students. Please contact Jan Peters ( or any other Team Member for more information.

Ongoing

Ongoing B.Sc. and M.Sc. Theses / B.Sc. und M.Sc. Themen in Bearbeitung

StudentAdvisorTypeTopic
Jonas SperlingRiad AkrourM.Sc.Intrinsically Motivated Tactile In-Hand Manipulation
Patrick KrabbeJan PetersM.Sc.Learning Riemannian Movement Primitives for Manipulation
Alexander KleinJan Peters, Andras KupcsikM.Sc.Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors
Moritz SchrammDorothea KoertB.Sc.Development of an Interactive Gesture Recognition System for an Assistive Robot
Mattis KaemmererJoao CarvalhoM.Sc.Measure-Valued Derivatives for Machine Learning
David RotherFabio Muratore, Thomas WeisswangeM.Sc.Reinforcement Learning inDecentralized Multi-GoalMulti-Agent Settings
Hanyu SunJulen Urain De JesusM.Sc.Can we improve time-series classification with Inverse Reinforcement Learning?
Lanmiao LiuJulen Urain De JesusM.Sc.Detection and Prediction of Human Gestures by Probabilistic Modelling
Yanhua ZhangTuan Dam, Pascal KlinkM.Sc.Memory Representations for Partially Observable Reinforcement Learning
Cedric DerstroffTuan Dam, Georgia Chalvatzaki, Joni PajarinenM.Sc.Memory Representations for Partially Observable Reinforcement Learning
Max NiessingGeorgia ChalvatzakiM.Sc.Learning latent object representations for grasp generation ​with generative-adversarial models
Haoyi YangPascal KlinkM.Sc.Variational Inference for Curriculum Reinforcement Learning
Yannick EichHany Abdulsamad, Joe WatsonM.Sc.Distributionally Robust Optimization for Hybrid Systems
Yannik FrischGeorgia ChalvatzakiM.Sc.Self-supervised Visual Imitation Learning
Jan SchneiderGeorgia Chalvatzaki, Carlo D'EramoM.Sc.Visual Model-Predictive Actor-Critic Reinforcement Learning
Daljeet NandhaGeorgia ChalvatzakiM.Sc.Building Task Plans from Robot Knowledge Graphs
Jihao Andreas LinJoe Watson,Pascal KlinkM.Sc.Functional Variational Inference for Bayesian Neural Networks
Mohammed Amin AliJoe WatsonB.Sc.An Educational Framework for Robot Learning
Martina GassenVignesh Prasad, Dorothea KoertB.Sc.Learning a library of Physical Interactions for Social Robots
Lukas SchneiderTuan Dam, Carlo DEramoB.Sc.Distributional Monte-Carlo Tree Search
Frederik WegnerBoris Belousov, Niklas FunkM.Sc.Learning Vision-Based Tactile Representations for Robotic Architectural Assembly
Tim SchneiderBoris Belousov, Hany AbdulsamadM.Sc.Tactile Active Inference
Theo GrunerFabio Muratore, Boris BelousovM.Sc.Wasserstein-Optimal Distributional System Identification for Domain Randomization
Hassan WahbaTianyu RenB.Sc.Deep Object-centered Heuristic for Robot Planning
Jule BredgenDorothea KoertM.Sc.The Relation between Social Interaction And Intrinsic Motivation in Reinforcement Learning
Pengfei ZhaoJoao CarvalhoM.Sc.Improving Gradient Directions for Episodic Policy Search
Marek DanivJoao Carvalho, Suman PalB.Sc.Graph Representations for Object Manipulation
Zhicheng YangVignesh PrasadM.Sc.Exploring Gripping Behaviours and Haptic Emotions for Human-Robot Handshaking
Chen XueJoao Carvalho, Suman PalM.Sc.Task Classification and Local Manipulation Controllers

Ongoing IP Projects

TopicStudentsAdviser
Self-Paced Reinforcement Learning for Sim-to-RealFabian Damken, Heiko CarrascoFabio Muratore
Policy Distillation for Sim-to-RealBenedikt Hahner, Julien BrosseitFabio Muratore
Neural Posterior System IdentificationTheo Gruner, Florian WieseFabio Muratore, Boris Belousov
Syntethic Dataset generation for Articulation predictionJiawei Huang, Niklas BabendererdeJulen Urain, Puze Liu
Guided Dimensionality Reduction for Black-Box OptimizationMarius MemmelPuze Liu, Davide Tateo
Learning Laplacian Representations for continuous MCTSDaniel Mansfeld, Alex RuffiniTuan Dam, Georgia Chalvatzaki, Carlo D'Eramo
Object Tracking using Depth CarmeraLeon Magnus, Svenja Menzenbach, Max SiebenbornNiklas Funk, Boris Belousov, Georgia Chalvatzaki
GNNs for Robotic ManipulationFabio d'Aquino Hilt, Jan Kolf, Christian WeilandJoao Carvalho
Benchmarking advances in MCTS in Go and ChessLukas SchneiderTuan Dam, Carlo D'Eramo
Visual model-based reinforcement learning for robotic tasksRickmer KrohnGeorgia Chalvatzaki, Carlo D'Eramo

Completed

Only TU Darmstadt Theses and the Theses of IAS members from before the move to TU Darmstadt are listed.

Completed PhD Theses

Arenz, O. (2021). Sample-Efficient I-Projections for Robot Learning, Ph.D. Thesis, TU Darmstadt.   Download Article [PDF]   BibTeX Reference [BibTex]

Tosatto, S. (2021). Off-Policy Reinforcement Learning for Robotics, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2020). Interactive Machine Learning for Assistive Robots, Ph.D. Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Lampariello, R. (2020). Optimal Motion Planning for Object Interception and Grasping, Ph.D. Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Tanneberg, D. (2020). Understand-Compute-Adapt: Neural Networks for Intelligent Agents, Ph.D. Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Buechler, D. (2019). Robot Learning for Muscular Systems, Ph.D. Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2019). Bidirectional Human-Robot Learning: Imitation and Skill Improvement, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W. (2019). Using Mean Embeddings for State Estimation and Reinforcement Learning, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Gonzalez, S. (2019). Real Time Probabilistic Models for Robot Trajectories, Ph.D. Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S. (2019). Reinforcement Learning with Sparse and Multiple Rewards, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Koc, O. (2018). Optimal Trajectory Generation and Learning Control for Robot Table Tennis, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2018). Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F. (2018). Toward Dextrous In-Hand Manipulation through Tactile Sensing, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S. (2017). Learning Sequential Skills for Robot Manipulation Tasks, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Paraschos, A. (2017). Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Vinogradska, J. (2017). Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R. (2016). Bayesian Modeling for Optimization and Control in Robotics, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C. (2016). Learning Hierarchical Policies from Human Feedback, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hoof, H.v. (2016). Machine Learning through Exploration for Perception-Driven Robotics, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O. (2015). Machine Learning for Robot Grasping and Manipulation, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2013). Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z. (2013). Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Model, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J. (2012). Learning Motor Skills: From Algorithms to Robot Experiments, PhD Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D (2011). Model Learning in Robot Control, PhD Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt).   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Master Theses

Hansel, K. (2021). Probabilistic Dynamic Mode Primitives, Master Thesis.   BibTeX Reference [BibTex]

He, J. (2021). Imitation Learning with Energy Based Model, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Moos, J. (2021). Approximate Variational Inference for Mixture Models, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Palenicek, D. (2021). Dyna-Style Model-Based Reinforcement Learning with Value Expansion, Master Thesis.   BibTeX Reference [BibTex]

Patzwahl, A. (2021). Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseball ||, Master Thesis.   BibTeX Reference [BibTex]

Rathjens, J. (2021). Accelerated Policy Search, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zhou, Z. (2021). Approximated Policy Search in Black-Box Optimization, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Borhade, P. (2020). Multi-agent reinforcement learning for autonomous driving, Master Thesis.   BibTeX Reference [BibTex]

Dorau, T. (2020). Distributionally Robust Optimization for Optimal Control, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Galljamov, R. (2020). Sample-Efficient Learning-Based Controller for Bipedal Walking in Robotic Systems, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Georgos, A. (2020). Robotics under Partial Observability, Master Thesis.   BibTeX Reference [BibTex]

Lautenschlaeger, T. (2020). Variational Inference for Switching Dynamics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Mentzendorff, E.; (2020). Multi-Objective Deep Reinforcement Learning through Manifold Optimization, Master Thesis.   BibTeX Reference [BibTex]

Ploeger, K. (2020). High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.   Download Article [PDF]   BibTeX Reference [BibTex]

Schotschneider, A. (2020). Learning High-Level Behavior for Autonomous Vehicles, Master Thesis.   BibTeX Reference [BibTex]

Semmler, M. (2020). Sequential Bayesian Optimal Experimental Design for Nonlinear Dynamics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Sharma, S. (2020). SAC-RL: Continuous Control of Wheeled Mobile Robot for Navigation in a Dynamic Environment, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Tekam, S. (2020). A Gaussian Mixture ModelApproach to Off-Policy PolicyGradient Estimation, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Tengang, V. M. (2020). 3D Pose Estimation for Robot Mikado, Master Thesis.   BibTeX Reference [BibTex]

Weimar, J. (2020). Exploring Intrinsic Motivation for Quanser Reinforcement Learning Benchmark Systems, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Williamson, L. (2020). Learning Nonlinear Dynamical Systems with the Koopman Operator, Master Thesis.   BibTeX Reference [BibTex]

Zecevic, M. (2020). Learning Algorithms, Invariances, and the Real World, Master Thesis.   BibTeX Reference [BibTex]

Baig, I. (2019). Deep End-to-End Calibration Thesis, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Becker, P. (2019). Expected Information Maximization: Using the I-Projection for Mixture Density Estimation, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Bous, F. (2019). Generating Spectral Envelopes for Singing Synthesis with Neural Networks, Master Thesis.   BibTeX Reference [BibTex]

Carvalho, J.A.C. (2019). Nonparametric Off-Policy Policy Gradient, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Cui, K. (2019). A Study on TD-Regularized Actor-Critic Methods, Master Thesis.   BibTeX Reference [BibTex]

Delfosse, Q. (2019). Grasping Objects Using a Goal-Discovering Architecture for Intrinsically-Motivated Learning, Master Thesis.   BibTeX Reference [BibTex]

Eschenbach, M. (2019). Metric-based Imitation Learning, Master Thesis.   BibTeX Reference [BibTex]

Hartmann, V. (2019). Efficient Exploration using Value Bounds in Deep Reinforcement Learning, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hoffmann, D. (2019). Pedestrian Detection, Tracking and Intention Prediction in the context of autonomous Driving, Master Thesis.   BibTeX Reference [BibTex]

Hubecker, S. (2019). Curiosity Driven Reinforcement Learning for Autonomous Driving, Master Thesis.   BibTeX Reference [BibTex]

Huegelmann, N. (2019). Generating adaptable and reusable robot movements for a robot kitchen, Master Thesis.   BibTeX Reference [BibTex]

Jukonyte, L. (2019). Probabilistic Motion and Intention Prediction for Autonomous Vehicles, Master Thesis.   BibTeX Reference [BibTex]

Kircher, M. (2019). Learning from Human Feedback: a Comparison of Interactive Reinforcement Learning Algorithms, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Klink, P. (2019). Generalization and Transferability in Reinforcement Learning, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Knaust, M. (2019). Intuitive imitation learning for one-handed and bimanual tasks using ProMPs, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Laux, M. (2019). Deep Adversarialreinforcement Learning for Object Disentangling, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Liu, Z. (2019). Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Mohan, D.S. (2019). Learning hand adjustments for haptic interactions, Master Thesis.   BibTeX Reference [BibTex]

Nass, D. (2019). Risk-Sensitive Policy Search with Applications to Robot-Badminton, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Nickl, P. (2019). Bayesian Inference for Regression Models using Nonparametric Infinite Mixtures, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Pal, S. (2019). Deep Robot Reinforcement Learning for Assisting a Human, Master Thesis.   BibTeX Reference [BibTex]

Sadybakasov, A. (2019). Learning Vision-Based Tactile Skills for Robotic Architectural Assembly, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Saoud, H. (2019). Improving Sample-Efficiency with a Model-Based Deterministic Policy Gradient, Master Thesis.   BibTeX Reference [BibTex]

Schultheis, M. (2019). Approximate Bayesian Reinforcement Learning for System Identification, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Weigand, S. (2019). Guided Reinforcement Learning Under Partial Observability, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Wilberg, A. (2019). An Exploration of Interacting Machine Learning Methods for Agent Navigation, Master Thesis.   BibTeX Reference [BibTex]

Woelker, A. (2019). Local Pixel Manipulation Detection with Deep Neural Networks, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zhang, S. (2019). Integration of self-imitation and model-based learning to actor-critic algorithms, Master Thesis.   BibTeX Reference [BibTex]

Ziese, A. (2019). Fast Multi-Objective Redundancy Resolution for Highly-Redundant Mobile Robots, Master Thesis.   BibTeX Reference [BibTex]

Brandherm, F. (2018). Learning Replanning Policies with Direct Policy Search, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Celik, O. (2018). Chance Constraints for Stochastic Optimal Control and Stochastic Optimization, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Dienlin, D. (2018). Generative Adverserial Models for Deep Driving, Master Thesis.   BibTeX Reference [BibTex]

Dittmar, D. (2018). Distributed Reinforcement Learning with Neural Networks for Robotics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ritter, C. (2018). Deep Learning of Inverse Dynamic Models, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Song, Y. (2018). Minimax and entropic proximal policy optimization, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Thai, H. L. (2018). Deep Reinforcement Learning for POMDPs, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Trick, S. (2018). Multimodal Uncertainty Reduction for Intention Recognition in a Human-Robot Environment, Master Thesis.   BibTeX Reference [BibTex]

Wang, Z. (2018). Representation Learning for Tactile Manipulation, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zhi, R. (2018). Deep reinforcement learning under uncertainty for autonomous driving, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ahmad, P. (2017). Analysis of Financial Big Data using Machine Learning and Graph Processing, Master Thesis.   BibTeX Reference [BibTex]

Beckmann, L. (2017). Lane estimation with deep neural networks, Master Thesis.   BibTeX Reference [BibTex]

Gabriel, A. (2017). Empowered Skills, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Gadiya, P. (2017). Large Scale Real-Time Data Analytics Platform for Energy Exchange, Master Thesis.   BibTeX Reference [BibTex]

Gondaliya, K. (2017). Learning to Categorize Issues in Distributed Bug Tracker Systems, Master Thesis.   BibTeX Reference [BibTex]

Hoelscher, J. (2017). Interactive Planning Under Uncertainty, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Pinsler, R. (2017). Data-Efficient Learning of Robotic Grasps From Human Preferences, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Sharma, D. (2017). Adaptive Training Strategies for Brain Computer Interfaces, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Shinde, S. (2017). POMDPs for Continuous States and Observations for Robotics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Weibrecht, N. (2017). Auswertung von Sensordaten mit Machine Learning Algorithmen, Master Thesis.   BibTeX Reference [BibTex]

Abbenseth, J. (2016). Cooperative Path-Planning for Service Robots, Master Thesis.   BibTeX Reference [BibTex]

Abdulsamad, H. (2016). Stochastic Optimal Control with Linearized Dynamics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Achieser, I. (2016). Potential evaluation of eye- and headtracking data as a robust and real-time capable predictor for driver intention detection and integration into an algorithm for maneuver prediction, Master Thesis.   BibTeX Reference [BibTex]

Belousov, B. (2016). Optimal Control of Ball Catching, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hüttenrauch, M. (2016). Guided Deep Reinforcement Learning for Robot Swarms, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2016). Learning a Filter for Noise Attenuation in EEG Data for Brain-Computer Interfaces, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2016). Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kohlschuetter, J. (2016). Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2016). Multi-Group Factor Extension of the GrouPS algorithm and Real-World Robot Learning, Master Thesis.   BibTeX Reference [BibTex]

Schuster, R. (2016). 3D Object Proposals from Stereo and Optical Flow, Master Thesis.   BibTeX Reference [BibTex]

Stapf, E. (2016). Predicting Traffic Flows for Traffic Engineering in Software-Defined Networks, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2016). Learning Probabilistic Feedforward and Feedback Policies for Generating Stable Walking Behaviors, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D. (2016). Context-driven Movement Primitive Adaptation, Master Thesis, IAS, TU Darmstadt.   Download Article [PDF]   BibTeX Reference [BibTex]

Novoty, M. (2015). Application of Decision-Support Technologies for an Autonomous Evasion System for UAVs, Master Thesis.   BibTeX Reference [BibTex]

Tanneberg, D. (2015). Spiking Neural Networks Solve Robot Planning Problems, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Vandommele, T. (2015). Entwicklung eines Algorithmus zur Klassifikation von Schläfrigkeit durch videobasierte Fahrerbeobachtung, Master Thesis.   BibTeX Reference [BibTex]

Wieland, A. (2015). Probabilistic Methods for Forecasting of Electric Load Profiles, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2014). Feature Extraction for Inverse Reinforcement Learning, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Barnikol, S. (2014). Machine Learning for Active Gait Support with a Powered Ankle Prosthesis, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Chebotar, Y. (2014). Learning Robot Tactile Sensing for Object Manipulation, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2014). Value-Function-Based Reinforcement Learning with Temporal Differences, Masters Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W. (2014). Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kamthe, S. (2014). Multi-modal Inference in Time Series, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S. (2014). Learning Sequential Skills for Robot Manipulation Tasks, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Merfels, C. (2014). Large-scale probabilistic feature mapping and tracking for autonomous driving, Masters Thesis.   BibTeX Reference [BibTex]

Mindt, M. (2014). Probabilistic Inference for Movement Planning in Humanoids, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Mundo, J. (2014). Extracting Low-Dimensional Control Variables for Movement Primitives, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2014). 3D Object Reconstruction from Partial Views, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ringwald, J. (2014). Combination of Movement Primitives for Robotics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zeiss, S. (2014). Manipulation Skill for Robotic Assembly, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Haji Ghasemi, N. (2013). Approximate Gaussian Process Inference with Periodic Kernels, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2013). Learning time-dependent feedback policies with model-based policy search, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schmitt, F. (2013). Probabilistic Nonlinear Model Predictive Control based on Pontryagin`s Minimum Principle, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C. (2012). Hierarchical Relative Entropy Policy Search, Masters Thesis.   BibTeX Reference [BibTex]

Gopalan, N. (2012). Feedback Error Learning for Gait Acquisition, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zhou, R. (2012). Free Space Detection Based On Occupancy Gridmaps, Masters Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2009). Modeling Human Table Tennis, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   BibTeX Reference [BibTex]

Kober, J. (2008). Reinforcement Learning for Motor Primitives, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Bachelor Theses

Helfenstein, F. (2021). Benchmarking Deep Reinforcement Learning Algorithms, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zoeller, M. (2021). Graph Neural Networks forModel-Based ReinforcementLearning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Baierl, M. (2020). Learning Action Representations For Primitives-Based Motion Generation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Damken, F. (2020). Variational Autoencoders for Koopman Dynamical Systems, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Eiermann, A. (2020). Optimierung von Biologischen Systemen, Bachelor Thesis.   BibTeX Reference [BibTex]

Kirschner, M. (2020). Integration of LIDAR SLAM for an automous vehicle, Bachelor Thesis.   BibTeX Reference [BibTex]

Nukovic, L. (2020). Evaluation of the Handshake Turing Test for anthropomorphic Robots, Bachelor Thesis.   BibTeX Reference [BibTex]

Scharf, F. (2020). Proximal Policy Optimization with Explicit Intrinsic Motivation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Stadtmueller, J. (2020). Dimensionality Reduction of Movement Primitives in Parameter Space, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Divo, F. (2019). Trajectory Based Upper Body Gesture Recognition for an Assistive Robot, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ebeling, L. (2019). Experimental validation of an MPC-POMDP model of ball catching, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hensel, M. (2019). Correlated Exploration in Deep Reinforcement Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kaiser, F. (2019). Towards a Robot Skill Library Using Hierarchy, Composition and Adaptation, Bachelor Thesis.   BibTeX Reference [BibTex]

Keller, L. (2019). Application of state-of-the-art RL algorithms to robotics simulators, Bachelor Thesis.   BibTeX Reference [BibTex]

Kinold, J. (2019). Development of a Simulation Model for an Autonomous Vehicle, Bachelor Thesis.   BibTeX Reference [BibTex]

Lang, M. (2019). Imitation Learning for Highlevel Robot Behavior in the Context of Elderly Assistance, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Lutz, P. (2019). Automatic Segmentation and Labeling for Robot Table Tennis Time Series, Bachelor Thesis.   BibTeX Reference [BibTex]

Suess, J. (2019). Robust Control for Model Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Weiland, C. (2019). Deep Model-based Reinforcement Learning: Propagating Rewards Backwards through the Model for All Time-Steps, Bachelor Thesis.   BibTeX Reference [BibTex]

Borg, A. (2018). InfiniteMixture Policies in Reinforcement Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Khaled, N. (2018). Benchmarking Reinforcement Learning Algorithms on Tetherball Games, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Kolev, Z. (2018). Joint Learning of Humans and Robots, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Rinder, S. (2018). Trajectory Kernels for Bayesian Optimization, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schneider, T. (2018). Guided Policy Search for In-Hand Manipulation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schotschneider, A. (2018). Collision Avoidance in Uncertain Environments for Autonomous Vehicles using POMDPs.   Download Article [PDF]   BibTeX Reference [BibTex]

Tschirner, J. (2018). Boosted Deep Q-Network, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Fiebig, K.-H. (2017). Multi-Task Logistic Regression in Brain-Computer Interfaces, Bachelor Thesis.   BibTeX Reference [BibTex]

Frisch, Y. (2017). The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, R. (2017). Development and Evaluation of 3D Autoencoders for Feature Extraction, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Lolkes, C. (2017). Incremental Imitation Learning with Estimation of Uncertainty, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Pfanschilling, V. (2017). Self-Programming Mutation and Crossover in Genetic Programming for Code Generation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Polat, H. (2017). Nonparametric deep neural networks for movement planning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Rother, D. (2017). Transferring Insights on Biological Sleep to Robot Motor Skill Learning.   Download Article [PDF]   BibTeX Reference [BibTex]

Semmler, M. (2017). Exploration in Deep Reinforcement Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Szelag, S. (2017). Transferring Insights on Mental Training to Robot Motor Skill Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Thiem, S. (2017). Simulation of the underactuated Sake Robotics Gripper in V-REP and ROS, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zecevic, M. (2017). Matching Bundles of Axons Using Feature Graphs.   Download Article [PDF]   BibTeX Reference [BibTex]

Plage, L. M. (2016). Reinforcement Learning for tactile-based finger gaiting, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Alte, D. (2016). Control of a robotic arm using a low-cost BCI, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Becker, P. (2016). Learning Deep Feature Spaces for Nonparametric Inference, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Grossberger, L. (2016). Towards a low-cost cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis, Bachelor Thesis.   BibTeX Reference [BibTex]

Klink, P (2016). Model Learning for Probabilistic Movement Primitives, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Marg, V. (2016). Reinforcement Learning for a Dexterous Manipulation Task, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Nakatenus, M. (2016). Multi-Agent Reinforcement Learning Algorithms, Bachelor Thesis.   BibTeX Reference [BibTex]

Palenicek, D. (2016). Reinforcement Learning for Mobile Missile Launching, Bachelor Thesis.   BibTeX Reference [BibTex]

Ramstedt, S. (2016). Deep Reinforcement Learning with Continuous Actions, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schultheis, M. (2016). Learning Priors for Error-related Decoding in EEG data for Brain-Computer Interfacing, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Unverzagt, F.T. (2016). Modeling Robustness for Multi-Objective Optimization, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Alexev, S. (2015). Reinforcement Learning für eine mobile Raketenabschußplattform, Bachelor Thesis.   BibTeX Reference [BibTex]

Berninger K. (2015). Hierarchical Policy Search Algorithms, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Blank, A. (2015). Learning a State Representation for a Game Agent’s Reactive Behaviour, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

End, F. (2015). Learning Versatile Solutions with Policy Search, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Mayer C. (2015). Learning to Sequence Movement Primitives for Rhythmic Tasks, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schaefer, A. (2015). Prediction of Finger Flexion from ECoG Data with a Deep Neural Network, Bachelor Thesis.   BibTeX Reference [BibTex]

Amend, S. (2014). Feature Extraction for Policy Search, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Brandl, S. (2014). Learning to Pour Using Warped Features, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2014). Spectral Learning of Hidden Markov Models, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hochlaender, A. (2014). Deep Learning for Reinforcement Learning in Pacman, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hoelscher, J. (2014). Tactile Exploration of Object Properties, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Huhnstock, N. (2014). Tactile Sensing for Manipulation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Laux, M. (2014). Online Feature Learning for Reinforcement Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2014). Latent Space Reinforcement Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Mattmann, A. (2014). Modeling How To Catch Flying Objects: Optimality Vs. Heuristics, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2014). Artificial Curiosity for Motor Skill Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Smyk, M. (2014). Learning Generalizable Models for Compliant Robots, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Thai, H.L. (2014). Laplacian Mesh Editing for Interaction Learning, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

von Willig, J. (2014). Reinforcement Learning for Heros of Newerth, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Notz, D. (2013). Reinforcement Learning for Planning in High-Dimensional Domains, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Pfretzschner, B. (2013). Autonomous Car Driving using a Low-Cost On-Board Computer, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Schoengen, S. (2013). Visual feature learning for interactive segmentation, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Distler, M. (2012). Koennen Lernalgorithmen interagieren aehnlich wie im Gehirn?, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Hensch, P. (2012). Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe, Bachelor Thesis.   BibTeX Reference [BibTex]

Hess, S. (2012). Levitation Sphere, Bachelor Thesis.   BibTeX Reference [BibTex]

Sharma, D. (2012). Combining Reinforcement Learning and Feature Extraction, Bachelor Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Zimpfer, A. (2012). Vergleich verschiedener Lernalgorithmen auf einem USB-Missilelauncher, Bachelor Thesis.   BibTeX Reference [BibTex]

Honors Theses and Advanced Design Projects

Smyk, M. (2016). Model-based Control and Planning on Real Robots, Honors Thesis.   BibTeX Reference [BibTex]

Koert, D. (2015). Inverse Kinematics for Optimal Human-Robot Collaboration, Honors Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Buchholz, T.; Croon, T; El Khoury, M. (2014). Playing Tetherball with Compliant Robots, Advanced Design Project.   Download Article [PDF]   BibTeX Reference [BibTex]

Ho, D.; Kisner, V. (2014). Trajectory Tracking Controller for a 4-DoF Flexible Joint Robotic Arm, Advanced Design Project.   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Seminar Theses

Alles, I (2012). Models for Biological Motor Control: Modules of Movements, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2012). Extensive Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2013). Inverse Optimal Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2012). Algorithms for Fast Gradient Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Dittmar, D. (2013). Slice Sampling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2012). Locally Weighted Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Fischer, A. (2012). Inverse Reinforcement Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Gabriel, A. (2012). An introduction to Structural Learning - A new approach in Reinforcement Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Glaser, C. (2012). Learning in Reality: A case study of Stanley, the robot that Won the DARPA Challenge, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Goppalan, N. (2012). Gaussian Process Latent Variable Models for Dimensionality Reduction and Time Series Modeling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Graber, T. (2012). Models for Biological Motor Control: Optimality Principles, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Hardock, S. (2012). Applications in Robot Helicopter Acrobatics, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Isaak, J. (2012). Interaction Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Kruk, S. (2013). Planning with Multiple Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Kunz, F. (2013). An Introduction to Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Kutschke, M. (2012). Imitation Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2012). Machine learning and the brain, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Mindt, M. (2012). Learning robot control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Mogk, R. (2012). Efficient Planning under Uncertainty with Macro-actions, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Mueck, J. (2012). Learning physical Models of Robots, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Pignede, T. (2012). Evolution of Reinforcement Learning in Games or How to Win against Humans with Intelligent Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Ploetz, T. (2012). Deterministic Approximation Methods in Bayesian Inference, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2012). Kernel Descriptors in comparison with Hierarchical Matching Pursuit, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Schnell, F. (2013). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Schoenberger, D. (2012). Planning in POMDPs, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2013). Planning for Relational Rules, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2012). Do Reinforcement Learning Models Explain Neural Learning?, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Stein, A. (2013). Learning Robot Locomotion, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Swiezinski, L. (2013). Lifecycle of a Jeopardy Question Answered by Watson DeepQA, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Thiel, T. (2012). Learning in Robot Soccer, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Tschirsich, M. (2013). Learning Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Viering, M. (2012). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Will, K. (2013). Autonomous Chess-Playing, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Zoellner, M. (2013). Reinforcement Learning in Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   Download Article [PDF]   BibTeX Reference [BibTex]

Completed IP Projects

TopicStudentsAdviser
Architectural Assembly: Simulation and OptimizationJan SchneiderBoris Belousov, Georgia Chalvatzaki
Probabilistic Object Tracking using Depth CarmeraJan Emrich, Simon KiefhaberNiklas Funk, Boris Belousov, Georgia Chalvatzaki
Bayesian Optimization for System Identification in Robot Air HockeyChen Xue. Verena SieburgerPuze Liu, Davide Tateo
Benchmarking MPC Solvers in the Era of Deep Reinforcement LearningDarya Nikitina, Tristan SchulzJoe Watson

  

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