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: 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 first.

Ongoing

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

StudentAdvisorTypeTopic
Moritz SchrammDorothea KoertB.Sc.Development of an Interactive Gesture Recognition System for an Assistive Robot
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
Max NiessingGeorgia ChalvatzakiM.Sc.Learning latent object representations for grasp generation ​with generative-adversarial models
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
Mohammad 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
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
Lei XuTianyu Ren, Georgia ChalvatzakiM.Sc.Integrated AI planning for general-purpose robot manipulation
Christian WeilandJoao CarvalhoM.Sc.Model Based Reinforcement Learning
Maximilian TölleCarlo D'Eramo, Georgia ChalvatzakiM.Sc.Curriculum Adversarial Reinforcement Learning
Heiko CarrascoPascal Klink, Carlo D'EramoM.Sc.Optimal Sampling for Self-Paced Reinforcement Learning
Felix KaiserPascal KlinkM.Sc.Multi-Object Pose Estimation for Robotic Applications in Cluttered Scenes
Verena SieburgerPuze Liu, Davide TateoM.Sc.Building up the Baseline Agent for Robot Air Hockey
Jonas GünsterPuze Liu, Davide TateoB.Sc.Learning the Low-level Policy for Robot Air Hockey
Max SiebenbornJunning Huang, Boris BelousovB.Sc.Evaluating Decision Transformer Architecture on Robot Learning Tasks
Daniel MusekampOleg ArenzM.Sc.Amortized VIPS for Grasp Pose Sampling
Leon MagnusNiklas Funk, Pascal KlinkB.Sc.Real-time Object Tracking for Assembly
Svenja MenzenbachNiklas FunkB.Sc.Leveraging Learned Graph-based Heuristics for efficiently solving the Combinatorics of Assembly
Moritz MeserPascal KlinkB.Sc.Multi-Instance Pose Estimation for Robot Mikado
Nathalie WoortmanDorothea Koert, Lisa ScherfB.Sc.Comparing and Personalizing Human Following Behaviors for Mobile Ground Robots

Ongoing IP Projects

TopicStudentsAdviser
Active Visual Search with POMDPsJascha Hellwig, Mark BaierlJoao Carvalho, Julen Urain De Jesus
Second Order Optimistic Actor CriticPascal Herrmann, Niklas KappesJoao Carvalho
Multi-sensorial reinforcement learning for robotic tasksRickmer KrohnGeorgia Chalvatzaki, Snehal Jauhri
Learning Behavior Trees from VideoNick Dannenberg, Aljoscha SchmidtLisa Scherf, SumanPal
Subgoal-Oriented Shared ControlZhiyuan Gao, Fengyun ShaoKay Hansel
Task Taxonomy for robots in householdAmin Ali, Xiaolin LinSnehal Jauhri, Ali Younes
Learn to play TangramMaximilian LangerKay Hansel, Niklas Funk
Theory of Mind Models for HRI under partial ObservabilityFranziska Herbert, Tobias Niehues, Fabian KalterDorothea Koert, Joni Pajarinen, David Rother
Learning the Gait for Legged Robot via Safe Reinforcement LearningJoshua Johannson, Andreas Seidl FernandezPuze Liu, Davide Tateo
Learning Safe Human-Robot InteractionZhang ZhangPuze Liu, Snehal Jauhri
Subgoal-oriented Shared ControlZhiyuan Gao, Fengyun ShaoKay Hansel
Active-sampling for deep Multi-Task RLFabian WahrenCarlo D'Eramo, Georgia Chalvatzaki

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

Derstroff, C. (2021). Memory Representations for Partially Observable Reinforcement Learning, Master Thesis.   BibTeX Reference [BibTex]

Eich, Y. (2021). Distributionally Robust Optimization for Hybrid Systems, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Gruner, T. (2021). Wasserstein-Optimal Bayesian System Identification for Domain Randomization, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

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

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

Kaemmerer, M. (2021). Measure-Valued Derivatives for Machine Learning, 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]

Schneider, T. (2021). Active Inference for Robotic Manipulation, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Wegner, F. (2021). Learning Vision-Based Tactile Representations for Robotic Architectural Assembly, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

Ye, Z. (2021). Efficient Gradient-Based Variational Inference with GMMs, 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]

Klein, A. (2020). Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors, Master Thesis.   BibTeX Reference [BibTex]

Krabbe, P. (2020). Learning Riemannian Movement Primitives for Manipulation, 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]

Schneider, L. (2021). Distributional Monte-Carlo Tree Search, Bachelor Thesis.   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). Infinite-Mixture 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

Sperling, J. (2021). Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors, Honors Thesis.   BibTeX Reference [BibTex]

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
Learning Deep Heuristics for Robot PlanningDominik MarinoTianyu Ren
Learning Behavior Trees from VideosJohannes Heeg, Aljoscha Schmidt and Adrian WorringSuman Pal, Lisa Scherf
Learning Decisions by Imitating Human Control CommandsJonas Günster, Manuel SengeJunning Huang
Combining Self-Paced Learning and Intrinsic MotivationFelix Kaiser, Moritz Meser, Louis SterkerPascal Klink
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 predictionJohannes Weyel, 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
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
Enhancing Attention Aware Movement PrimitivesArtur KrukDorothea Koert
Towards Semantic Imitation LearningPengfei ZhaoJulen Urain & Georgia Chalvatzaki
Can we use Structured Inference Networks for Human Motion Prediction?Hanyu Sun, Liu LanmiaoJulen Urain & Georgia Chalvatzaki
Reinforcement Learning for Architectural Combinatorial OptimizationJianpeng Chen, Yuxi Liu, Martin Knoll, Leon WietschorkeBoris Belousov, Georgia Chalvatzaki, Bastian Wibranek
Architectural Assembly With Tactile Skills: Simulation and OptimizationTim Schneider, Jan SchneiderBoris Belousov, Georgia Chalvatzaki, Bastian Wibranek
Bayesian Last Layer NetworksJihao Andreas LinJoe Watson, Pascal Klink
BATBOT: BATter roBOT for BaseballYannick Lavan, Marcel WesselyCarlo D'Eramo
Benchmarking Deep Reinforcement LearningBenedikt VolkerDavide Tateo, Carlo D'Eramo, Tianyu Ren
Model Predictive Actor-Critic Reinforcement Learning of Robotic TasksDaljeet NandhaGeorgia Chalvatzaki
Dimensionality Reduction for Reinforcement LearningJonas JägerMichael Lutter
From exploration to control: learning object manipulation skills through novelty search and local adaptationLeon KellerSvenja Stark, Daniel Tanneberg
Robot Air-HockeyPatrick LutzPuze Liu, Davide Tateo
Learning Robotic Grasp of Deformable ObjectMingye Zhu, Yanhua ZhangTianyu Ren
Teach a Robot to solve puzzles with intrinsic motivationAli KarpuzogluGeorgia Chalvatzaki, Svenja Stark
Inductive Biases for Robot LearningRustam GalljamovBoris Belousov, Michael Lutter
Accelerated Mirror Descent Policy SearchMaximilian HenselBoris Belousov, Tuan Dam
Foundations of Adversarial and Robust LearningJanosch Moos, Kay HanselSvenja Stark, Hany Abdulsamad
Likelihood-free Inference for Reinforcement LearningMaximilian Hensel, Kai CuiBoris Belousov
Risk-Aware Reinforcement LearningMaximillian Kircher, Angelo Campomaggiore, Simon Kohaut, Dario PerroneSamuele Tosatto, Dorothea Koert
Underactuated Trajectory-tracking Control for Long-exposure Photography VideoJonas Eschmann, Robin Menzenbach, Christian EilersBoris Belousov, Fabio Muratore
Learning Symbolic Representations for Abstract High-Level PlanningZhiyuan Hu, Claudia Lölkes, Haoyi YangSvenja Stark Daniel Tanneberg
Learning Perceptual ProMPs for Catching BallsAxel PatzwahlDorothea Koert, Michael Lutter
Bayesian Inference for Switching Linear Dynamical SystemsMarkus Semmler, Stefan FabianHany Abdulsamad
Characterization of WAM DynamicsKai PloegerDorothea Koert, Michael Lutter
Deep Reinforcement Learning for playing Starcraft IIDaniel Palenicek, Marcel Hussing, Simon MeisterFilipe Veiga
Enhancing Exploration in High-Dimensional Environments ΔLu Wan, Shuo ZhangSimone Parisi
Building a Grasping TestbedDevron WilliamsOleg Arenz
Online Dynamic Model LearningPascal KlinkHany Abdulsamad, Alexandros Paraschos
Spatio-spectral Transfer Learning for Motor Performance EstimationKarl-Heinz FiebigDaniel Tanneberg
From Robots to CobotsMichael Burkhardt, Moritz Knaust, Susanne TrickDorothea Koert, Marco Ewerton
Learning Hand-KinematicsSumanth Venugopal, Deepak Singh MohanGregor Gebhardt
Goal-directed reward generationAlymbek SadybakasovBoris Belousov
Learning Grammars for Sequencing Movement PrimitivesKim Berninger, Sebastian SzelagRudolf Lioutikov
Learning Deep Feature Spaces for Nonparametric InferencePhilipp BeckerGregor Gebhardt
Lazy skill learning for cleaning up a tableLejla Nukovic, Moritz FuchsSvenja Stark
Reinforcement Learning for Gait Learning in QuadrupedsKai Ploeger, Zinan LiuSvenja Stark
Learning Deep Feature Spaces for Nonparametric InferencePhilipp BeckerGregor Gebhardt
Optimal Control for Biped LocomotionMartin Seiler, Max KreischerHany Abdulsamad
Semi-Autonomous Tele-OperationNick Heppert, Marius, Jeremy TschirnerOleg Arenz
Teaching People how to Write Japanese CharactersDavid Rother, Jakob Weimar, Lars LotterMarco Ewerton
Local Bayesian OptimizationDmitry SorokinRiad Akrour
Bayesian Deep Reinforcement Learning -Tools and Methods-Simon RamstedtSimone Parisi
Controlled Slip for Object ReleaseSteffen Kuchelmeister, Albert Schotschneider Filipe Veiga
Learn intuitive physics from videosYunlong Song, Rong ZhiBoris Belousov
Learn an Assembling Task with Swarm RobotsKevin Daun, Marius SchnaubeltGregor Gebhardt
Learning To Sequence Movement PrimitivesChristoph MayerChristian Daniel
Learning versatile solutions for Table TennisFelix EndGerhard Neumann Riad Akrour
Learning to Control Kilo-Bots with a FlashlightAlexander Hendrich, Daniel KauthGregor Gebhardt
Playing Badminton with RobotsJ. Tang, T. Staschewski, H. GouBoris Belousov
Juggling with RobotsElvir Sabic, Alexander WölkerDorothea Koert
Learning and control for the bipedal walker FaBiManuel Bied, Felix Treede, Felix PelsRoberto Calandra
Finding visual kernelsFide Marten, Dominik DienlinHerke van Hoof
Feature Selection for Tetherball Robot GamesXuelei Li, Jan Christoph KlieSimone Parisi
Inverse Reinforcement Learning of Flocking BehaviourMaximilian Maag, Robert PinslerOleg Arenz
Control and Learning for a Bipedal RobotFelix Treede, Phillip Konow, Manuel BiedRoberto Calandra
Perceptual coupling with ProMPsJohannes Geisler, Emmanuel StapfAlexandros Paraschos
Learning to balance with the iCubMoritz Nakatenus, Jan GeukesRoberto Calandra
Generalizing Models for a Compliant RobotMike SmykHerke van Hoof
Learning Minigolf with the BioRobFlorian BrandhermMarco Ewerton
iCub TelecontrolLars Fritsche, Felix UnverzagtRoberto Calandra
REPS for maneuvering in RobocupJannick Abbenseth, Nicolai OmmerChristian Daniel
Learning Ball on a Beam on the KUKA lightweight armsBianca Loew, Daniel WilbertsChristian Daniel
Sequencing of DMPs for Task- and Motion PlanningMarkus Sigg, Fabian FallerRudolf Lioutikov
Tactile Exploration and MappingThomas Arnreich, Janine HoelscherTucker Hermans
Multiobjective Reinforcement Learning on Tetherball BioRobAlexander Blank, Tobias ViernickelSimone Parisi
Semi-supervised Active Grasp LearningSimon Leischnig, Stefan LüttgenOliver Kroemer

  

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