BSc internships / research assistantships

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

MSc projects

I currently have a single available project on understanding tooth extraction using robot technology. Vacancies for other projects again from September 2021 onwards. I will be able to accept a few students of the MSc Robotics, of the Vehicle Engineering track and BioRobotics as well as Haptics Interfaces specialization within the MSc Mechanical Engineering. For all other MSc programs, tracks, and specializations see below.

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


Akkash Vadakkupattu Srivathsan “Modeling and Predicting Ergonomics for Optimization in Physical Human-Robot Cooperative Tasks”
Mentors: Linda van der Spaa (TU Delft), Jens Kober (TU Delft)

Bart Bootsma “Learning Interactively to Imitate Robot Navigation”
Mentors: Giovanni Franzese (TU Delft), Reka Hajnovicsova (DoBots), Jens Kober (TU Delft)

Arthur Helsloot “Generalised Manipulation Through Reasoning over World Models”
Mentors: Mert Imre (TU Delft), Carlos Hernandez Corbato (TU Delft), Jens Kober (TU Delft)

Nathan Timmers “Pre-impact Trip Detection using Wearable Sensors”
Mentors: Saher Jabeen (TU Delft), Heike Vallery (TU Delft), Jens Kober (TU Delft)

Niels Lander “Interactive Learning of Force Tasks”
Mentors: Carlos Celemin (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)