Internships / research assistantships

Our department does not offer any such positions for external BSc or MSc students.

BSc projects

See BrightSpace for Bachelor End Projects for TU Delft students. Only in rare exceptions, we can accommodate external students (and they definitely need to be self-funded, e.g. via Erasmus+).

MSc projects

Vacancies for projects again from Q2 24/25 onwards. I will be able to accept a few TU Delft students of the MSc Robotics, of the Vehicle Engineering track and BioRobotics as well as Haptics Interfaces specialization within the MSc Mechanical Engineering (see BrightSpace for project descriptions). For all other TU Delft MSc programs, tracks, and specializations see below. Only in rare exceptions, we can accommodate external students (and they definitely need to be self-funded, e.g. via Erasmus+).

Initiative Applications:

We can occasionally accommodate (additional) highly motivated students in MSc projects or in ongoing projects before their graduation stage.

If you are interested in working on a project with us, please send us ca. 1 academic quarter before the intended starting date an e-mail including:

The motivation letter should state

Completed

Pengzhi Yang “Task-Unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation”
Mentors: Cong Wang (TU Delft), Frans A. Oliehoek (TU Delft), Jens Kober (TU Delft)

Evert De Vroey “Lifelong Learning for a Kresling Origami Robot: A Plug-and-Play Module for Supervised Learning of Target Adaptations”
Mentor: Jens Kober (TU Delft)

Amber M. van Groenestijn “Investigating Theory of Mind Capabilities in Multimodal Large Language Models”
Mentors: Chirag Raman (TU Delft), Jens Kober (TU Delft)

Paul H. Féry “Toward Occlusion Capable Human Trajectory Prediction: Facilitating occlusion capability at the prediction stage of perception, with a TransFormer based trajectory prediction model”
Mentors: Anna Mészáros (TU Delft), Jens Kober (TU Delft)

Runyu Ma “Language-Guided Semantic Affordance Exploration for Efficient Reinforcement Learning”
Mentors: Zlatan Ajanović (RWTH Aachen), Jelle Luijkx (TU Delft), Jens Kober (TU Delft)

Anish Diwan “Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation”
Mentors: Julen Urain (TU Darmstadt), Jan Peters (TU Darmstadt), Jens Kober (TU Delft)

Jasper van Leuven “A Data Augmentation Pipeline: Leveraging Controllable Diffusion Models and Automotive Simulation Software”
Mentors: Son Tong (Siemens Digital Industries Software), Jens Kober (TU Delft)

Maarten Hugenholtz “Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models”
Mentors: Anna Mészáros (TU Delft), Zlatan Ajanović (TU Delft), Jens Kober (TU Delft)

Rafaël Beckers “Learning Generalizable Robot Manipulation Skills with Object Hierarchy”
Mentors: Zlatan Ajanović (TU Delft), Jens Kober (TU Delft)

Amin Berjaoui Tahmaz “Variable Stiffness Control for Sequential Contact Tasks”
Mentors: Ravi Prakash (TU Delft), Jens Kober (TU Delft)

Lourens Zuiker “Predicting Propeller Behaviour Using Machine Learning”
Mentors: Jop Paauw (Boskalis), Willem de Graaf (Boskalis), Jens Kober (TU Delft)

Mariano Ramírez Montero “Learning Task Parameterised Dynamical Systems with Gaussian Process Regression and Classification”
Mentors: Giovanni Franzese (TU Delft), Leandro de Souza Rosa (TU Delft), Jens Kober (TU Delft)

Alexander Keijzer “Prioritizing states with action sensitive return in experience replay”
Mentors: Bas van der Heijden (TU Delft), Jens Kober (TU Delft)

Gijs van den Brandt “Experimental Validation of Reference-Spreading-Based Impact-Aware Manipulation for Dual-Arm Robot Grabbing”
Mentors: Jari van Steen (TU/e), Alessandro Saccon (TU/e), Jens Kober (TU Delft)

Zheyu Du “Teaching bimanual dexterous manipulations with interactive demonstrations and reinforcement learning”
Mentors: Giovanni Franzese (TU Delft), Jens Kober (TU Delft)

Jianyong Sun “Learning from Few Demonstrations with Frame-Weighted Motion Generation”
Mentors: Jihong Zhu (TU Delft), Michael Gienger (HRIeu), Jens Kober (TU Delft)

Yulei Qiu “Wrinkle direction detection and its application on robotic cloth wrinkle removal”
Mentors: Jihong Zhu (TU Delft), Michael Gienger (HRIeu), Jens Kober (TU Delft)

Lars van der Lely “Linear State-Space System Identification for Automatic Greenhouse Climate Control”
Mentors: Manuel Mazo (TU Delft), Jens Kober (TU Delft)

Bram Bornhijm “Motion Primitive Recognition in Tooth Removal Surgery”
Mentors: Tom van Riet (AMC), Jens Kober (TU Delft)

Yurui Du “Learning from Demonstrations of Critical Driving Behaviours Using Driver’s Risk Field”
Mentors: Son Tong (Siemens Digital Industries Software), Flavia Sofia Acerbo (Siemens Digital Industries Software), Jens Kober (TU Delft)

Besim Bay “Learning object-object affordances for placement-position prediction in an item packing task”
Mentors: Ravi Prakash (TU Delft), Jens Kober (TU Delft)

Rudy De-Xin de Lange “Incremental Adaptation of Behaviour Trees for Applications in Learning from Demonstration Frameworks”
Mentors: Dimitris Karageorgos (HIT), Jens Kober (TU Delft)

Annemarijn Haasdijk “The Quasi-Online Algorithm in a Robot Packing Environment: Implementation of an Improved Bin Packing Algorithm”
Mentors: Sergio Grammatico (TU Delft), Tim Biemans (Picnic), Jens Kober (TU Delft)

Sven Uitendaal “Teaching Robots Impact Tasks by Performing Demonstrations”
Mentors: Alessandro Saccon (TU/e), Jens Kober (TU Delft)

Dirk-Jan Boonstra “Learning to estimate the proximity of slip using high-resolution tactile sensing”
Mentors: Jelle Luijkx (TU Delft), Jens Kober (TU Delft), Michaël Wiertlewski (TU Delft)

Irene Lopez Bosque “Towards Corrective Deep Imitation Learning in Data Intensive Environments: Helping robots to learn faster by leveraging human knowledge”
Mentors: Rodrigo Perez Dattari (TU Delft), Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Armin Avaei “Learning Human Preferences for Motion Planning in Robotic Manipulation”
Mentors: Linda van der Spaa (TU Delft), Jens Kober (TU Delft), Luka Peternel (TU Delft)

Karthik Arvind Arunmoli “Data efficient pick location learning from images for sequential tasks”
Mentors: Rodrigo Perez Dattari (TU Delft), Jens Kober (TU Delft)

David ter Kuile “Handling the unknown: Towards on-the-job object recognition”
Mentors: Osama Mazhar (TU Delft), Jens Kober (TU Delft)

Chia-Yu Tsai “Wrinkle contraction direction: a useful feature for learning robotic fabric manipulation from demonstration”
Mentors: Jihong Zhu (TU Delft), Jens Kober (TU Delft)

Lalith Keerthan Suresh Kumar “Learning Task Space Policies from Demonstration”
Mentors: Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Bram Harleman “Automated modelling of traffic signal controller behaviour from floating car data using Hidden semi-Markov Models: Paving the way for large scale implementation of Green Light Optimal Speed Advisory systems”
Mentors: Andreas Hegyi (TU Delft), Jens Kober (TU Delft)

Evelyn D'Elia “Automatic Controller Selection on a Humanoid Robot: Using Optimization Techniques”
Mentors: Serena Ivaldi (INRIA), Jean-Baptiste Mouret (INRIA), Jens Kober (TU Delft)

Yen-Lin Wu “One Pose Fits All: A novel kinematic approach to 3D human pose estimation”
Mentors: Osama Mazhar (TU Delft), Jens Kober (TU Delft)

Anna Mészáros “Teaching Robots How to Grasp Like Humans by Humans: An Interactive Approach”
Mentors: Giovanni Franzese (TU Delft), Jens Kober (TU Delft)

Niels Lander “Interactive Imitation Learning for Force Control”
Mentors: Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Bart Bootsma “Learning Interactively to Resolve Ambiguity in Sensor Policy Fusion for Robot”
Mentors: Giovanni Franzese (TU Delft), Réka Bérci-Hajnovics (DoBots), Jens Kober (TU Delft)

Nathan Timmers “Simulating Gait with the 3R60 Knee Prosthesis and a Control Moment Gyroscope”
Mentors: Saher Jabeen (TU Delft), Heike Vallery (TU Delft), Jens Kober (TU Delft)

Arthur Helsloot “Symbolic Reasoning about Unseen Objects from Multimodal Sensory Feedback for Manipulation”
Mentors: Mert Imre (TU Delft), Carlos Hernandez Corbato (TU Delft), Jens Kober (TU Delft)

Willem de Graaf “Understanding Tooth Removal Procedures using Feature Engineering and Classification Models”
Mentors: Jens Kober (TU Delft), Tom van Riet (AMC)

Peter Valletta “Uncertainty-based Interactive Machine Learning”
Mentors: Rodrigo Perez Dattari (TU Delft), Jens Kober (TU Delft)

Olav Jacobs “Cooperative Robotic Arms for Parcel Picking”
Mentors: Jan-Willem Damsteeg (PrimeVision), Jens Kober (TU Delft)

Snehal Jauhri “Interactive Learning in State-space: Enabling robots to learn from non-expert humans”
Mentors: Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Sjouke de Zwart “Impact-Aware Learning from Demonstration”
Mentors: Alessandro Saccon (TU/e), Jens Kober (TU Delft)

Julian Freiherr von der Goltz “Classification of Damages on Aircraft Inspection Images Using Convolutional Neural Networks”
Mentors: Wei Pan (TU Delft), Jochem Verboom (Mainblades Inspections), Jens Kober (TU Delft)

Thijs Greevink “Prioritized Experience Replay based on the Wasserstein Metric in Deep Reinforcement Learning”
Mentors: Tim de Bruin (TU Delft), Jens Kober (TU Delft)

Jan Scholten “Deep Reinforcement Learning with Feedback-based Exploration”
Mentors: Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Daan Wout “Policy Learning with Human Teachers - Using directive feedback in a Gaussian framework”
Mentors: Carlos Celemin (TU Delft), Jens Kober (TU Delft)

Mart Beeftink “Learning Kinematic Models using a Single Tele-Demonstration”
Mentors: Ewout Arkenbout (HIT), Jens Kober (TU Delft)

Konstantinos Kokkalis “LMI-based Stability Analysis for Learning Control”
Mentors: Sebastian Trimpe (MPI-IS), Jens Kober (TU Delft)

Sathish Krishnamoorthi “Model-Based Compensation for Serial Manipulators through Semi-Parametric Gaussian Process Regression”
Mentors: Jens Kober (TU Delft)

Martijn Kist “Development of sway reduction control for the Jacket Lift System of Pioneering Spirit”
Mentors: Niels Mallon (Allseas), Marijn Dijk (Allseas), Jens Kober (TU Delft)

Bart Keulen “Smart Start: A Directed and Persistent Exploration Framework for Reinforcement Learning”
Mentors: Jerry Pratt (IHMC), Jens Kober (TU Delft)

Wuyang Duan “Learning State Representations for Robotic Control - Information Disentangling and Multi-modal Learning”
Mentor: Jens Kober (TU Delft)

Jovana Radojevic “Cooperative Visual Object Learning”
Mentors: Lydia Fischer (HRIeu), Heiko Wersing (HRIeu), Stephan Hasler (HRIeu), Jens Kober (TU Delft)

Divyam Rastogi “Deep Reinforcement Learning for Bipedal Robots”
Mentors: Ivan Koryakovskiy (TU Delft), Jens Kober (TU Delft)

Nikol Guljelmovic “Task Parameter Inference in Human-Robot Interaction”
Mentors: Martijn Zeestraten (IIT), Sylvain Calinon (IIT), Jens Kober (TU Delft), Pieter Jonker (TU Delft)

Siddharth Ravi “Reinforcement Learning Across Timescales”
Mentors: Tim de Bruin (TU Delft), Jens Kober (TU Delft)

Ronald Olsthoorn “Segmented Active Reward Learning”
Mentors: Jens Kober (TU Delft), Robert Babuška (TU Delft)

Yannick Kathmann “Multi-Sensor Human Detection on an Intelligent Security Robot - A study on combining vision and laser scan data”
Mentors: Jochem Verboom (RSS), Eelko van Breda (RSS), Floris Gaisser (TU Delft), Jens Kober (TU Delft), Pieter Jonker (TU Delft)

Niels Marck “Semi-parametric Identification of Manipulator Dynamics in a Time-varying Environment”
Mentor: Jens Kober (TU Delft)

Derk Mus “Generating Robotic Manipulation Trajectories with Neural Networks”
Mentors: Zoltán Szlávik (IBM), Robert-Jan Sips (IBM), Jens Kober (TU Delft)

Xiang Zhang “Learning Control Policies for Tooth Extraction - An Application of Programming by Demonstration”
Mentors: Jens Kober (TU Delft), Tom van Riet (AMC)

Victor van Spaandonk “Learning Variable Impedance Control: A Model-Based Approach Using Gaussian Processes”
Mentor: Jens Kober (TU Delft)

Renée van der Wijden “Preference-driven Demonstration Ranking for Inverse Reinforcement Learning”
Mentors: Corrado Grappiolo (Alten), Chris Kalis (Alten), Jens Kober (TU Delft), Ivan Koryakovskiy (TU Delft), Martijn Wisse (TU Delft)

Jelle Munk “Deep Reinforcement Learning - Pretraining actor-critic networks using state representation learning”
Mentors: Jens Kober (TU Delft), Robert Babuška (TU Delft)

Denise Feirstein “Reinforcement Learning of Potential Fields to achieve Limit-Cycle Walking”
Mentors: Heike Vallery (TU Delft), Ivan Koryakovskiy (TU Delft), Jens Kober (TU Delft)

Jihong Zhu “Real-time Collision Avoidance for Robot Manipulators by Braking Trajectory Prediction”
Mentors: Nico Mansfeld (DLR), Jens Kober (TU Delft)

Tamis van der Laan “Consolidated Deep Actor Critic Networks”
Mentors: Marco Loog (TU Delft), Jens Kober (TU Delft)