Abschlussarbeiten aka Theses Main
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 ( mail@jan-peters.net) or any other Team Member for more information.
Ongoing
Ongoing B.Sc. and M.Sc. Theses / B.Sc. und M.Sc. Themen in Bearbeitung
| Student | Advisor | Type | Topic |
|---|---|---|---|
| Jonas Sperling | Riad Akrour | M.Sc. | Intrinsically Motivated Tactile In-Hand Manipulation |
| Alexy Georgos | Joni Pajarinen | M.Sc. | Robotics under Partial Observability |
| Kai Ploeger | Michael_Lutter | M.Sc. | From Imitation Learning to Juggling |
| Pratik Borhade | Joni Pajarinen | M.Sc. | Multi-agent reinforcement learning for autonomous driving |
| Len Williamson | Joe Watson | M.Sc. | Learning Stochastic Nonlinear Dynamical Systems with the Koopman Operator |
| Jakob Weimar | Svenja Stark | M.Sc. | Exploration based on Intrinsic Motivations for Reinforcement Learning on Quanser Benchmark Systems |
| Jonas Stadtmüller | Samuele Tosatto | B.Sc. | Nonparametric Off-Policy Policy Gradient Applied to Robotics |
| Sahil Sharma | Oleg Arenz | M.Sc. | Building and Training a Mobile Security Robot |
| Vini Marconie Tengang | Tuan Dam, Pascal Klink | M.Sc. | Vision-based Grasping for Robot Mikado |
| Johannes Silberbauer | Joe Watson, Michael Lutter | M.Sc. | Graph Networks for Recursive Newton Euler Model Learning |
| Thomas Lautenschläger | Hany Abdulsamad | M.Sc. | Probabilistic Trajectory Optimization of Hybrid Dynamics |
| Markus Semmler | Boris Belousov, Michael Lutter, Hany Abdulsamad | M.Sc. | Experimental Design of Nonlinear Dynamics with Bayesian Deep Networks |
| Tim Dorau | Boris Belousov, Hany Abdulsamad | M.Sc. | Learning Robust Control: A Game-Theoretic Perspective |
| Jan Rathjens | Boris Belousov, Tuan Dam | M.Sc. | Accelerated Policy Search |
| Felix Helfenstein | Davide Tateo, Carlo D'Eramo, Tianyu Ren | B.Sc. | Benchmarking Deep Reinforcement Learning Algorithms |
| Eike Mentzendorff | Simone Parisi, Carlo D'Eramo | M.Sc. | Bridging the gap between multi-objective and multi-task deep reinforcement learning |
| Fabian Scharf | Tobias Joppen, Svenja Stark | B.Sc. | PPO with Explicit Intrinsic Motivation |
| Abraham Imohiosen | Joe Watson | M.Sc. | Variational Input Inference for Control |
| Patrick Krabbe | Jan Peters | M.Sc. | Learning Riemannian Movement Primitives for Manipulation |
Ongoing IP Projects
| Topic | Students | Adviser |
|---|---|---|
| Accelerated Mirror Descent Policy Search | Maximilian Hensel | Boris Belousov, Tuan Dam |
| Bayesian Last Layer Networks | Jihao Andreas Lin | Joe Watson, Pascal Klink |
| BATBOT: BATter roBOT for Baseball | Yannick Lavan, Marcel Wessely | Carlo D'Eramo |
| Benchmarking Deep Reinforcement Learning | Benedikt Volker | Davide Tateo, Carlo D'Eramo, Tianyu Ren |
| Bisimulation Metrics for Policy Transfer | Sheldon Ning | Pascal Klink, Svenja Stark |
| Enhancing Attention Aware Movement Primitives | Artur Kruk | Dorothea Koert |
| From exploration to control: learning object manipulation skills through novelty search and local adaptation | Leon Keller | Svenja Stark, Daniel Tanneberg |
| Inductive Biases for Robot Learning | Rustam Galljamov | Boris Belousov, Michael Lutter |
| Teach a Robot to solve puzzles with intrinsic motivation | Ali Karpuzoglu | Georgia Chalvatzaki, Svenja Stark |
| Learning Robotic Grasp of Deformable Object | Mingye Zhu, Yanhua Zhang | Tianyu Ren |
| Robot Air Hockey | Patrick Lutz | Puze Liu, Davide Tateo |
| Learn Deep Visual Object Representations for Robotic Manipulation | Daljeet Nandha, Jonas Guenther | Georgia Chalvatzaki |
Completed
The Theses lists include only TU Darmstadt Theses and the Theses of IAS members from before the move to TU Darmstadt are listed.
Completed PhD Theses
Ewerton, M. (2019). Bidirectional Human-Robot Learning: Imitation and Skill Improvement, PhD Thesis.
See Details BibTeX Reference
Gebhardt, G.H.W. (2019). Using Mean Embeddings for State Estimation and Reinforcement Learning, PhD Thesis.
See Details Download Article BibTeX Reference
Parisi, S. (2019). Reinforcement Learning with Sparse and Multiple Rewards, PhD Thesis.
See Details Download Article BibTeX Reference
Koc, O. (2018). Optimal Trajectory Generation and Learning Control for Robot Table Tennis, PhD Thesis.
See Details Download Article BibTeX Reference
Lioutikov, R. (2018). Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation, PhD Thesis.
See Details Download Article BibTeX Reference
Veiga, F. (2018). Toward Dextrous In-Hand Manipulation through Tactile Sensing, PhD Thesis.
See Details Download Article BibTeX Reference
Manschitz, S. (2017). Learning Sequential Skills for Robot Manipulation Tasks, PhD Thesis.
See Details Download Article BibTeX Reference
Paraschos, A. (2017). Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives, PhD Thesis.
See Details Download Article BibTeX Reference
Vinogradska, J. (2017). Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation, PhD Thesis.
See Details Download Article BibTeX Reference
Calandra, R. (2016). Bayesian Modeling for Optimization and Control in Robotics, PhD Thesis.
See Details BibTeX Reference
Daniel, C. (2016). Learning Hierarchical Policies from Human Feedback, PhD Thesis.
See Details Download Article BibTeX Reference
van Hoof, H. (2016). Machine Learning through Exploration for Perception-Driven Robotics, PhD Thesis.
See Details Download Article BibTeX Reference
Kroemer, O. (2015). Machine Learning for Robot Grasping and Manipulation, PhD Thesis.
See Details Download Article BibTeX Reference
Muelling, K. (2013). Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis, PhD Thesis.
See Details Download Article BibTeX Reference
Wang, Z. (2013). Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Model, PhD Thesis.
See Details Download Article BibTeX Reference
Kober, J. (2012). Learning Motor Skills: From Algorithms to Robot Experiments, PhD Thesis.
See Details Download Article BibTeX Reference
Nguyen-Tuong, D (2011). Model Learning in Robot Control, PhD Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt).
See Details Download Article BibTeX Reference
Completed Master Theses
Baig, I. (2019). Deep End-to-End Calibration Thesis, Master Thesis.
See Details Download Article BibTeX Reference
Becker, P. (2019). Expected Information Maximization: Using the I-Projection for Mixture Density Estimation, Master Thesis.
See Details Download Article BibTeX Reference
Bous, F. (2019). Generating Spectral Envelopes for Singing Synthesis with Neural Networks, Master Thesis.
See Details BibTeX Reference
Carvalho, J.A.C. (2019). Nonparametric Off-Policy Policy Gradient, Master Thesis.
See Details Download Article BibTeX Reference
Cui, K. (2019). A Study on TD-Regularized Actor-Critic Methods, Master Thesis.
See Details BibTeX Reference
Delfosse, Q. (2019). Grasping Objects Using a Goal-Discovering Architecture for Intrinsically-Motivated Learning, Master Thesis.
See Details BibTeX Reference
Eschenbach, M. (2019). Metric-based Imitation Learning, Master Thesis.
See Details BibTeX Reference
Hartmann, V. (2019). Efficient Exploration using Value Bounds in Deep Reinforcement Learning, Master Thesis.
See Details Download Article BibTeX Reference
Hoffmann, D. (2019). Pedestrian Detection, Tracking and Intention Prediction in the context of autonomous Driving, Master Thesis.
See Details BibTeX Reference
Hubecker, S. (2019). Curiosity Driven Reinforcement Learning for Autonomous Driving, Master Thesis.
See Details BibTeX Reference
Huegelmann, N. (2019). Generating adaptable and reusable robot movements for a robot kitchen, Master Thesis.
See Details BibTeX Reference
Jukonyte, L. (2019). Probabilistic Motion and Intention Prediction for Autonomous Vehicles, Master Thesis.
See Details BibTeX Reference
Kircher, M. (2019). Learning from Human Feedback: a Comparison of Interactive Reinforcement Learning Algorithms, Master Thesis.
See Details Download Article BibTeX Reference
Klink, P. (2019). Generalization and Transferability in Reinforcement Learning, Master Thesis.
See Details Download Article BibTeX Reference
Knaust, M. (2019). Intuitive imitation learning for one-handed and bimanual tasks using ProMPs", Knaust, M., Master Thesis.
See Details BibTeX Reference
Lamprecht, M. (2019). Benchmarking Robust Control against Reinforcement Learning Methods on a Robotic Balancing Problem, Master Thesis.
See Details Download Article BibTeX Reference
Laux, M. (2019). Deep Adversarialreinforcement Learning for Object Disentangling, Master Thesis.
See Details Download Article BibTeX Reference
Liu, Z. (2019). Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm, Master Thesis.
See Details Download Article BibTeX Reference
Mohan, D.S. (2019). Learning hand adjustments for haptic interactions, Master Thesis.
See Details BibTeX Reference
Nass, D. (2019). Risk-Sensitive Policy Search with Applications to Robot-Badminton, Master Thesis.
See Details Download Article BibTeX Reference
Nickl, P. (2019). Bayesian Inference for Regression Models using Nonparametric Infinite Mixtures, Master Thesis.
See Details Download Article BibTeX Reference
Pal, S. (2019). Deep Robot Reinforcement Learning for Assisting a Human, Master Thesis.
See Details BibTeX Reference
Sadybakasov, A. (2019). Learning Vision-Based Tactile Skills for Robotic Architectural Assembly, Master Thesis.
See Details Download Article BibTeX Reference
Saoud, H. (2019). Improving Sample-Efficiency with a Model-Based Deterministic Policy Gradient, Master Thesis.
See Details BibTeX Reference
Schultheis, M. (2019). Approximate Bayesian Reinforcement Learning for System Identification, Master Thesis.
See Details Download Article BibTeX Reference
Weigand, S. (2019). Guided Reinforcement Learning Under Partial Observability, Master Thesis.
See Details Download Article BibTeX Reference
Wilberg, A. (2019). An Exploration of Interacting Machine Learning Methods for Agent Navigation, Master Thesis.
See Details BibTeX Reference
Woelker, A. (2019). Local Pixel Manipulation Detection with Deep Neural Networks, Master Thesis.
See Details Download Article BibTeX Reference
Zhang, S. (2019). Integration of self-imitation and model-based learning to actor-critic algorithms, Master Thesis.
See Details BibTeX Reference
Ziese, A. (2019). Fast Multi-Objective Redundancy Resolution for Highly-Redundant Mobile Robots, Master Thesis.
See Details BibTeX Reference
Brandherm, F. (2018). Learning Replanning Policies with Direct Policy Search, Master Thesis.
See Details Download Article BibTeX Reference
Celik, O. (2018). Chance Constraints for Stochastic Optimal Control and Stochastic Optimization, Master Thesis.
See Details Download Article BibTeX Reference
Dienlin, D. (2018). Generative Adverserial Models for Deep Driving, Master Thesis.
See Details BibTeX Reference
Dittmar, D. (2018). Distributed Reinforcement Learning with Neural Networks for Robotics, Master Thesis.
See Details Download Article BibTeX Reference
Ritter, C. (2018). Deep Learning of Inverse Dynamic Models, Master Thesis.
See Details Download Article BibTeX Reference
Song, Y. (2018). Minimax and entropic proximal policy optimization, Master Thesis.
See Details Download Article BibTeX Reference
Thai, H. L. (2018). Deep Reinforcement Learning for POMDPs, Master Thesis.
See Details Download Article BibTeX Reference
Treede, F. (2018). Learning Robust Control Policies from Simulations with Perturbed Parameters, Master Thesis.
See Details Download Article BibTeX Reference
Trick, S. (2018). Multimodal Uncertainty Reduction for Intention Recognition in a Human-Robot Environment, Master Thesis.
See Details BibTeX Reference
Wang, Z. (2018). Representation Learning for Tactile Manipulation, Master Thesis.
See Details Download Article BibTeX Reference
Zhi, R. (2018). Deep reinforcement learning under uncertainty for autonomous driving, Master Thesis.
See Details Download Article BibTeX Reference
Ahmad, P. (2017). Analysis of Financial Big Data using Machine Learning and Graph Processing, Master Thesis.
See Details BibTeX Reference
Beckmann, L. (2017). Lane estimation with deep neural networks, Master Thesis.
See Details BibTeX Reference
Gabriel, A. (2017). Empowered Skills, Master Thesis.
See Details Download Article BibTeX Reference
Gadiya, P. (2017). Large Scale Real-Time Data Analytics Platform for Energy Exchange, Master Thesis.
See Details BibTeX Reference
Gondaliya, K. (2017). Learning to Categorize Issues in Distributed Bug Tracker Systems, Master Thesis.
See Details BibTeX Reference
Hoelscher, J. (2017). Interactive Planning Under Uncertainty, Master Thesis.
See Details Download Article BibTeX Reference
Pinsler, R. (2017). Data-Efficient Learning of Robotic Grasps From Human Preferences, Master Thesis.
See Details Download Article BibTeX Reference
Sharma, D. (2017). Adaptive Training Strategies for Brain Computer Interfaces, Master Thesis.
See Details Download Article BibTeX Reference
Shinde, S. (2017). POMDPs for Continuous States and Observations for Robotics, Master Thesis.
See Details Download Article BibTeX Reference
Weibrecht, N. (2017). Auswertung von Sensordaten mit Machine Learning Algorithmen, Master Thesis.
See Details BibTeX Reference
Abbenseth, J. (2016). Cooperative Path-Planning for Service Robots, Master Thesis.
See Details BibTeX Reference
Abdulsamad, H. (2016). Stochastic Optimal Control with Linearized Dynamics, Master Thesis.
See Details Download Article BibTeX Reference
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.
See Details BibTeX Reference
Belousov, B. (2016). Optimal Control of Ball Catching, Master Thesis.
See Details Download Article BibTeX Reference
Hüttenrauch, M. (2016). Guided Deep Reinforcement Learning for Robot Swarms, Master Thesis.
See Details Download Article BibTeX Reference
Hesse, T. (2016). Learning a Filter for Noise Attenuation in EEG Data for Brain-Computer Interfaces, Master Thesis.
See Details Download Article BibTeX Reference
Koert, D. (2016). Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization, Master Thesis.
See Details Download Article BibTeX Reference
Kohlschuetter, J. (2016). Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities, Master Thesis.
See Details Download Article BibTeX Reference
Luck, K. (2016). Multi-Group Factor Extension of the GrouPS algorithm and Real-World Robot Learning, Master Thesis.
See Details BibTeX Reference
Schuster, R. (2016). 3D Object Proposals from Stereo and Optical Flow, Master Thesis.
See Details BibTeX Reference
Stapf, E. (2016). Predicting Traffic Flows for Traffic Engineering in Software-Defined Networks, Master Thesis.
See Details Download Article BibTeX Reference
Stark, S. (2016). Learning Probabilistic Feedforward and Feedback Policies for Generating Stable Walking Behaviors, Master Thesis.
See Details Download Article BibTeX Reference
Wilbers, D. (2016). Context-driven Movement Primitive Adaptation, Master Thesis, IAS, TU Darmstadt.
See Details Download Article BibTeX Reference
Novoty, M. (2015). Application of Decision-Support Technologies for an Autonomous Evasion System for UAVs, Master Thesis.
See Details BibTeX Reference
Tanneberg, D. (2015). Spiking Neural Networks Solve Robot Planning Problems, Master Thesis.
See Details Download Article BibTeX Reference
Vandommele, T. (2015). Entwicklung eines Algorithmus zur Klassifikation von Schläfrigkeit durch videobasierte Fahrerbeobachtung, Master Thesis.
See Details BibTeX Reference
Wieland, A. (2015). Probabilistic Methods for Forecasting of Electric Load Profiles, Master Thesis.
See Details Download Article BibTeX Reference
Arenz, O. (2014). Feature Extraction for Inverse Reinforcement Learning, Master Thesis.
See Details Download Article BibTeX Reference
Barnikol, S. (2014). Machine Learning for Active Gait Support with a Powered Ankle Prosthesis, Master Thesis.
See Details Download Article BibTeX Reference
Chebotar, Y. (2014). Learning Robot Tactile Sensing for Object Manipulation, Master Thesis.
See Details Download Article BibTeX Reference
Dann, C. (2014). Value-Function-Based Reinforcement Learning with Temporal Differences, Masters Thesis.
See Details Download Article BibTeX Reference
Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.
See Details Download Article BibTeX Reference
Gebhardt, G.H.W. (2014). Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces, Master Thesis.
See Details Download Article BibTeX Reference
Kamthe, S. (2014). Multi-modal Inference in Time Series, Master Thesis.
See Details Download Article BibTeX Reference
Manschitz, S. (2014). Learning Sequential Skills for Robot Manipulation Tasks, Master Thesis.
See Details Download Article BibTeX Reference
Merfels, C. (2014). Large-scale probabilistic feature mapping and tracking for autonomous driving, Masters Thesis.
See Details BibTeX Reference
Mindt, M. (2014). Probabilistic Inference for Movement Planning in Humanoids, Master Thesis.
See Details Download Article BibTeX Reference
Mundo, J. (2014). Extracting Low-Dimensional Control Variables for Movement Primitives, Master Thesis.
See Details Download Article BibTeX Reference
Reubold, J. (2014). 3D Object Reconstruction from Partial Views, Master Thesis.
See Details Download Article BibTeX Reference
Ringwald, J. (2014). Combination of Movement Primitives for Robotics, Master Thesis.
See Details Download Article BibTeX Reference
Zeiss, S. (2014). Manipulation Skill for Robotic Assembly, Master Thesis.
See Details Download Article BibTeX Reference
Englert, P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Master Thesis.
See Details Download Article BibTeX Reference
Haji Ghasemi, N. (2013). Approximate Gaussian Process Inference with Periodic Kernels, Master Thesis.
See Details Download Article BibTeX Reference
Lioutikov, R. (2013). Learning time-dependent feedback policies with model-based policy search, Master Thesis.
See Details Download Article BibTeX Reference
Schmitt, F. (2013). Probabilistic Nonlinear Model Predictive Control based on Pontryagin`s Minimum Principle, Master Thesis.
See Details Download Article BibTeX Reference
Daniel, C. (2012). Hierarchical Relative Entropy Policy Search, Masters Thesis.
See Details BibTeX Reference
Gopalan, N. (2012). Feedback Error Learning for Gait Acquisition, Master Thesis.
See Details Download Article BibTeX Reference
Zhou, R. (2012). Free Space Detection Based On Occupancy Gridmaps, Masters Thesis.
See Details Download Article BibTeX Reference
Muelling, K. (2009). Modeling Human Table Tennis, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .
See Details BibTeX Reference
Kober, J. (2008). Reinforcement Learning for Motor Primitives, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .
See Details Download Article BibTeX Reference
Completed Bachelor Theses
Eiermann, A. (2020). Optimierung von Biologischen Systemen, Bachelor Thesis.
See Details BibTeX Reference
Kirschner, M. (2020). Integration of LIDAR SLAM for an automous vehicle, Bachelor Thesis.
See Details BibTeX Reference
Divo, F. (2019). Trajectory Based Upper Body Gesture Recognition for an Assistive Robot, Bachelor Thesis.
See Details Download Article BibTeX Reference
Ebeling, L. (2019). Experimental validation of an MPC-POMDP model of ball catching, Bachelor Thesis.
See Details Download Article BibTeX Reference
Eilers, C. (2019). Bayesian Optimization for Learning from Randomized Simulations, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hensel, M. (2019). Correlated Exploration in Deep Reinforcement Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Kaiser, F. (2019). Towards a Robot Skill Library Using Hierarchy, Composition and Adaptation, Bachelor Thesis.
See Details BibTeX Reference
Keller, L. (2019). Application of state-of-the-art RL algorithms to robotics simulators, Bachelor Thesis.
See Details BibTeX Reference
Kinold, J. (2019). Development of a Simulation Model for an Autonomous Vehicle, Bachelor Thesis.
See Details BibTeX Reference
Lang, M. (2019). Imitation Learning for Highlevel Robot Behavior in the Context of Elderly Assistance, Bachelor Thesis.
See Details Download Article BibTeX Reference
Lutz, P. (2019). Automatic Segmentation and Labeling for Robot Table Tennis Time Series, Bachelor Thesis.
See Details BibTeX Reference
Menzenbach, R. (2019). Benchmarking Sim-2-RealAlgorithms on Real-WorldPlatforms, Bachelor Thesis.
See Details Download Article BibTeX Reference
Suess, J. (2019). Robust Control for Model Learning, Bachelor Thesis.
See Details BibTeX Reference
Weiland, C. (2019). Deep Model-based Reinforcement Learning: Propagating Rewards Backwards through the Model for All Time-Steps, Bachelor Thesis.
See Details BibTeX Reference
Borg, A. (2018). InfiniteMixture Policies in Reinforcement Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Khaled, N. (2018). Benchmarking Reinforcement Learning Algorithms on Tetherball Games, Bachelor Thesis.
See Details Download Article BibTeX Reference
Kolev, Z. (2018). Joint Learning of Humans and Robots, Bachelor Thesis.
See Details Download Article BibTeX Reference
Rinder, S. (2018). Trajectory Kernels for Bayesian Optimization, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schneider, T. (2018). Guided Policy Search for In-Hand Manipulation, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schotschneider, A. (2018). Collision Avoidance in Uncertain Environments for Autonomous Vehicles using POMDPs.
See Details Download Article BibTeX Reference
Tschirner, J. (2018). Boosted Deep Q-Network, Bachelor Thesis.
See Details Download Article BibTeX Reference
Fiebig, K.-H. (2017). Multi-Task Logistic Regression in Brain-Computer Interfaces, Bachelor Thesis.
See Details BibTeX Reference
Frisch, Y. (2017). The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hesse, R. (2017). Development and Evaluation of 3D Autoencoders for Feature Extraction, Bachelor Thesis.
See Details Download Article BibTeX Reference
Lolkes, C. (2017). Incremental Imitation Learning with Estimation of Uncertainty, Bachelor Thesis.
See Details Download Article BibTeX Reference
Pfanschilling, V. (2017). Self-Programming Mutation and Crossover in Genetic Programming for Code Generation, Bachelor Thesis.
See Details Download Article BibTeX Reference
Polat, H. (2017). Nonparametric deep neural networks for movement planning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Rother, D. (2017). Transferring Insights on Biological Sleep to Robot Motor Skill Learning.
See Details Download Article BibTeX Reference
Semmler, M. (2017). Exploration in Deep Reinforcement Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Szelag, S. (2017). Transferring Insights on Mental Training to Robot Motor Skill Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Thiem, S. (2017). Simulation of the underactuated Sake Robotics Gripper in V-REP and ROS, Bachelor Thesis.
See Details Download Article BibTeX Reference
Zecevic, M. (2017). Matching Bundles of Axons Using Feature Graphs.
See Details Download Article BibTeX Reference
Plage, L. M. (2016). Reinforcement Learning for tactile-based finger gaiting, Bachelor Thesis.
See Details Download Article BibTeX Reference
Alte, D. (2016). Control of a robotic arm using a low-cost BCI, Bachelor Thesis.
See Details Download Article BibTeX Reference
Becker, P. (2016). Learning Deep Feature Spaces for Nonparametric Inference, Bachelor Thesis.
See Details Download Article BibTeX Reference
Grossberger, L. (2016). Towards a low-cost cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis, Bachelor Thesis.
See Details BibTeX Reference
Klink, P (2016). Model Learning for Probabilistic Movement Primitives, Bachelor Thesis.
See Details Download Article BibTeX Reference
Marg, V. (2016). Reinforcement Learning for a Dexterous Manipulation Task, Bachelor Thesis.
See Details Download Article BibTeX Reference
Nakatenus, M. (2016). Multi-Agent Reinforcement Learning Algorithms, Bachelor Thesis.
See Details BibTeX Reference
Palenicek, D. (2016). Reinforcement Learning for Mobile Missile Launching, Bachelor Thesis.
See Details BibTeX Reference
Ramstedt, S. (2016). Deep Reinforcement Learning with Continuous Actions, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schultheis, M. (2016). Learning Priors for Error-related Decoding in EEG data for Brain-Computer Interfacing, Bachelor Thesis.
See Details Download Article BibTeX Reference
Unverzagt, F.T. (2016). Modeling Robustness for Multi-Objective Optimization, Bachelor Thesis.
See Details Download Article BibTeX Reference
Alexev, S. (2015). Reinforcement Learning für eine mobile Raketenabschußplattform, Bachelor Thesis.
See Details BibTeX Reference
Berninger K. (2015). Hierarchical Policy Search Algorithms, Bachelor Thesis.
See Details Download Article BibTeX Reference
Blank, A. (2015). Learning a State Representation for a Game Agent’s Reactive Behaviour, Bachelor Thesis.
See Details Download Article BibTeX Reference
End, F. (2015). Learning Versatile Solutions with Policy Search, Bachelor Thesis.
See Details Download Article BibTeX Reference
Mayer C. (2015). Learning to Sequence Movement Primitives for Rhythmic Tasks, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schaefer, A. (2015). Prediction of Finger Flexion from ECoG Data with a Deep Neural Network, Bachelor Thesis.
See Details BibTeX Reference
Amend, S. (2014). Feature Extraction for Policy Search, Bachelor Thesis.
See Details Download Article BibTeX Reference
Brandl, S. (2014). Learning to Pour Using Warped Features, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hesse, T. (2014). Spectral Learning of Hidden Markov Models, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hochlaender, A. (2014). Deep Learning for Reinforcement Learning in Pacman, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hoelscher, J. (2014). Tactile Exploration of Object Properties, Bachelor Thesis.
See Details Download Article BibTeX Reference
Huhnstock, N. (2014). Tactile Sensing for Manipulation, Bachelor Thesis.
See Details Download Article BibTeX Reference
Laux, M. (2014). Online Feature Learning for Reinforcement Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Luck, K. (2014). Latent Space Reinforcement Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Mattmann, A. (2014). Modeling How To Catch Flying Objects: Optimality Vs. Heuristics, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schroecker, Y. (2014). Artificial Curiosity for Motor Skill Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
Smyk, M. (2014). Learning Generalizable Models for Compliant Robots, Bachelor Thesis.
See Details Download Article BibTeX Reference
Thai, H.L. (2014). Laplacian Mesh Editing for Interaction Learning, Bachelor Thesis.
See Details Download Article BibTeX Reference
von Willig, J. (2014). Reinforcement Learning for Heros of Newerth, Bachelor Thesis.
See Details Download Article BibTeX Reference
Notz, D. (2013). Reinforcement Learning for Planning in High-Dimensional Domains, Bachelor Thesis.
See Details Download Article BibTeX Reference
Pfretzschner, B. (2013). Autonomous Car Driving using a Low-Cost On-Board Computer, Bachelor Thesis.
See Details Download Article BibTeX Reference
Schoengen, S. (2013). Visual feature learning for interactive segmentation, Bachelor Thesis.
See Details Download Article BibTeX Reference
Distler, M. (2012). Koennen Lernalgorithmen interagieren aehnlich wie im Gehirn?, Bachelor Thesis.
See Details Download Article BibTeX Reference
Hensch, P. (2012). Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe, Bachelor Thesis.
See Details BibTeX Reference
Hess, S. (2012). Levitation Sphere, Bachelor Thesis.
See Details BibTeX Reference
Sharma, D. (2012). Combining Reinforcement Learning and Feature Extraction, Bachelor Thesis.
See Details Download Article BibTeX Reference
Zimpfer, A. (2012). Vergleich verschiedener Lernalgorithmen auf einem USB-Missilelauncher, Bachelor Thesis.
See Details BibTeX Reference
Honors Theses and Advanced Design Projects
Smyk, M. (2016). Model-based Control and Planning on Real Robots, Honors Thesis.
See Details BibTeX Reference
Koert, D. (2015). Inverse Kinematics for Optimal Human-Robot Collaboration, Honors Thesis.
See Details Download Article BibTeX Reference
Abdulsamad, H.; Buchholz, T.; Croon, T; El Khoury, M. (2014). Playing Tetherball with Compliant Robots, Advanced Design Project.
See Details Download Article BibTeX Reference
Ho, D.; Kisner, V. (2014). Trajectory Tracking Controller for a 4-DoF Flexible Joint Robotic Arm, Advanced Design Project.
See Details Download Article BibTeX Reference
Completed Seminar Theses
Alles, I (2012). Models for Biological Motor Control: Modules of Movements, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Arenz, O. (2012). Extensive Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Arenz, O. (2013). Inverse Optimal Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Dann, C. (2012). Algorithms for Fast Gradient Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Dittmar, D. (2013). Slice Sampling, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Englert, P. (2012). Locally Weighted Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Fischer, A. (2012). Inverse Reinforcement Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Gabriel, A. (2012). An introduction to Structural Learning - A new approach in Reinforcement Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
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.
See Details Download Article BibTeX Reference
Goppalan, N. (2012). Gaussian Process Latent Variable Models for Dimensionality Reduction and Time Series Modeling, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Graber, T. (2012). Models for Biological Motor Control: Optimality Principles, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Hardock, S. (2012). Applications in Robot Helicopter Acrobatics, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Isaak, J. (2012). Interaction Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Kruk, S. (2013). Planning with Multiple Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Kunz, F. (2013). An Introduction to Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Kutschke, M. (2012). Imitation Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Lioutikov, R. (2012). Machine learning and the brain, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Mindt, M. (2012). Learning robot control, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Mogk, R. (2012). Efficient Planning under Uncertainty with Macro-actions, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Mueck, J. (2012). Learning physical Models of Robots, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
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.
See Details Download Article BibTeX Reference
Ploetz, T. (2012). Deterministic Approximation Methods in Bayesian Inference, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Reubold, J. (2012). Kernel Descriptors in comparison with Hierarchical Matching Pursuit, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Schnell, F. (2013). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Schoenberger, D. (2012). Planning in POMDPs, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Schroecker, Y. (2013). Planning for Relational Rules, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Stark, S. (2012). Do Reinforcement Learning Models Explain Neural Learning?, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Stein, A. (2013). Learning Robot Locomotion, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Swiezinski, L. (2013). Lifecycle of a Jeopardy Question Answered by Watson DeepQA, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Thiel, T. (2012). Learning in Robot Soccer, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Tschirsich, M. (2013). Learning Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Viering, M. (2012). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.
See Details Download Article BibTeX Reference
Will, K. (2013). Autonomous Chess-Playing, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Zoellner, M. (2013). Reinforcement Learning in Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.
See Details Download Article BibTeX Reference
Completed IP Projects
| Topic | Students | Adviser |
|---|---|---|
| Foundations of Adversarial and Robust Learning | Janosch Moos, Kay Hansel | Svenja Stark, Hany Abdulsamad |
| Likelihood-free Inference for Reinforcement Learning | Maximilian Hensel, Kai Cui | Boris Belousov |
| Risk-Aware Reinforcement Learning | Maximillian Kircher, Angelo Campomaggiore, Simon Kohaut, Dario Perrone | Samuele Tosatto, Dorothea Koert |
| Underactuated Trajectory-tracking Control for Long-exposure Photography Video | Jonas Eschmann, Robin Menzenbach, Christian Eilers | Boris Belousov, Fabio Muratore |
| Learning Symbolic Representations for Abstract High-Level Planning | Zhiyuan Hu, Claudia Lölkes, Haoyi Yang | Svenja Stark Daniel Tanneberg |
| Learning Perceptual ProMPs for Catching Balls | Axel Patzwahl | Dorothea Koert, Michael Lutter |
| Bayesian Inference for Switching Linear Dynamical Systems | Markus Semmler, Stefan Fabian | Hany Abdulsamad |
| Characterization of WAM Dynamics | Kai Ploeger | Dorothea Koert, Michael Lutter |
| Deep Reinforcement Learning for playing Starcraft II | Daniel Palenicek, Marcel Hussing, Simon Meister | Filipe Veiga |
| Enhancing Exploration in High-Dimensional Environments | Lu Wan, Shuo Zhang | Simone Parisi |
| Building a Grasping Testbed | Devron Williams | Oleg Arenz |
| Online Dynamic Model Learning | Pascal Klink | Hany Abdulsamad, Alexandros Paraschos |
| Spatio-spectral Transfer Learning for Motor Performance Estimation | Karl-Heinz Fiebig | Daniel Tanneberg |
| From Robots to Cobots | Michael Burkhardt, Moritz Knaust, Susanne Trick | Dorothea Koert, Marco Ewerton |
| Learning Hand-Kinematics | Sumanth Venugopal, Deepak Singh Mohan | Gregor Gebhardt |
| Goal-directed reward generation | Alymbek Sadybakasov | Boris Belousov |
| Learning Grammars for Sequencing Movement Primitives | Kim Berninger, Sebastian Szelag | Rudolf Lioutikov |
| Learning Deep Feature Spaces for Nonparametric Inference | Philipp Becker | Gregor Gebhardt |
| Lazy skill learning for cleaning up a table | Lejla Nukovic, Moritz Fuchs | Svenja Stark |
| Reinforcement Learning for Gait Learning in Quadrupeds | Kai Ploeger, Zinan Liu | Svenja Stark |
| Learning Deep Feature Spaces for Nonparametric Inference | Philipp Becker | Gregor Gebhardt |
| Optimal Control for Biped Locomotion | Martin Seiler, Max Kreischer | Hany Abdulsamad |
| Semi-Autonomous Tele-Operation | Nick Heppert, Marius, Jeremy Tschirner | Oleg Arenz |
| Teaching People how to Write Japanese Characters | David Rother, Jakob Weimar, Lars Lotter | Marco Ewerton |
| Local Bayesian Optimization | Dmitry Sorokin | Riad Akrour |
| Bayesian Deep Reinforcement Learning -Tools and Methods- | Simon Ramstedt | Simone Parisi |
| Controlled Slip for Object Release | Steffen Kuchelmeister, Albert Schotschneider | Filipe Veiga |
| Learn intuitive physics from videos | Yunlong Song, Rong Zhi | Boris Belousov |
| Learn an Assembling Task with Swarm Robots | Kevin Daun, Marius Schnaubelt | Gregor Gebhardt |
| Learning To Sequence Movement Primitives | Christoph Mayer | Christian Daniel |
| Learning versatile solutions for Table Tennis | Felix End | Gerhard Neumann Riad Akrour |
| Learning to Control Kilo-Bots with a Flashlight | Alexander Hendrich, Daniel Kauth | Gregor Gebhardt |
| Playing Badminton with Robots | J. Tang, T. Staschewski, H. Gou | Boris Belousov |
| Juggling with Robots | Elvir Sabic, Alexander Wölker | Dorothea Koert |
| Learning and control for the bipedal walker FaBi | Manuel Bied, Felix Treede, Felix Pels | Roberto Calandra |
| Finding visual kernels | Fide Marten, Dominik Dienlin | Herke van Hoof |
| Feature Selection for Tetherball Robot Games | Xuelei Li, Jan Christoph Klie | Simone Parisi |
| Inverse Reinforcement Learning of Flocking Behaviour | Maximilian Maag, Robert Pinsler | Oleg Arenz |
| Control and Learning for a Bipedal Robot | Felix Treede, Phillip Konow, Manuel Bied | Roberto Calandra |
| Perceptual coupling with ProMPs | Johannes Geisler, Emmanuel Stapf | Alexandros Paraschos |
| Learning to balance with the iCub | Moritz Nakatenus, Jan Geukes | Roberto Calandra |
| Generalizing Models for a Compliant Robot | Mike Smyk | Herke van Hoof |
| Learning Minigolf with the BioRob | Florian Brandherm | Marco Ewerton |
| iCub Telecontrol | Lars Fritsche, Felix Unverzagt | Roberto Calandra |
| REPS for maneuvering in Robocup | Jannick Abbenseth, Nicolai Ommer | Christian Daniel |
| Learning Ball on a Beam on the KUKA lightweight arms | Bianca Loew, Daniel Wilberts | Christian Daniel |
| Sequencing of DMPs for Task- and Motion Planning | Markus Sigg, Fabian Faller | Rudolf Lioutikov |
| Tactile Exploration and Mapping | Thomas Arnreich, Janine Hoelscher | Tucker Hermans |
| Multiobjective Reinforcement Learning on Tetherball BioRob | Alexander Blank, Tobias Viernickel | Simone Parisi |
| Semi-supervised Active Grasp Learning | Simon Leischnig, Stefan Lüttgen | Oliver Kroemer |
