MSc projects

Every year we accept several students from the Vehicle Engineering track and BioRobotics specialization within the MSc Mechanical Engineering. In exceptional cases, we also supervise students from other MSc studies - if you are interested please see below the information that we require from you.
In the following you can find a list of available MSc projects, with starting date. Please first contact the daily supervisor to discuss the project.
For students interested in a longer research experience (e.g. if you would like to publish an article during your MSc thesis or do a PhD afterwards), all of our MSc Thesis and Literature Survey assignments can be extended with a Research Assignment in the same topic. We do not offer separate Research Assignments - only those linked to an MSc thesis project.

Risk-Aware Motion Planning for Autonomous Vehicles

Description: The goal of this thesis is to analyse the risk associated with planning in uncertain crowded environments, and plan accordingly. There are two research directions proposed: (1) Risk Assessment for Probabilistic Planners, (2) Reachability Analysis for Contingency Planning. [FULL DESCRIPTION]

Starting date: June to November 2023

Daily supervisors: Khaled Mustafa, k.a.mustafa@tudelft.nl and Xinwei Wang, xinwei.wang@qmul.ac.uk

Internship-Thesis: Model-Based Motion Planning for Autonomous Vessels with Stochastic Disturbances

Description: You will first start an internships by modeling vessel dynamics and applying a novel motion planner. Then, during your thesis, you will work on making the planner robust to disturbances. The topic is flexible. [FULL DESCRIPTION]

Starting date: February to November 2023

Daily supervisors: Elia Trevisan, e.trevisan@tudelft.nl

MPC-Based Trajectory Planning with Prioritized Constraints

Description: The goal of this project is to implement a reliable MPC framework that gracefully handles infeasibility by relaxing constraints in a prioritized manner when necessary. The software module will be benchmarked in extensive hardware experiments on a mobile robot. [FULL DESCRIPTION]

Starting date: Juli to October 2023

Daily supervisors: Oscar de Groot and Lasse Peters {o.m.degroot,l.peters}@tudelft.nl

Motion planning in a crowded environment for mobile robots

Description: The goal is to contribute to motion planning in a crowded environment. There are two possible research directions: (1) Motion planning for mobile manipulators, (2) Intuition for robotic systems. [FULL DESCRIPTION]

Starting date: August to October 2023

Daily supervisor: Saray Bakker, s.bakker-7@tudelft.nl

Risk-Aware Motion Planning for Autonomous Vehicles: Probabilistic Risk Metrics in Sampling-Based MPC

Description: The goal is to integrate probabilistic risk assessment metrics into motion planning for autonomous vehicles using a sampling-based MPC so that the planner is aware of collision risks. [FULL DESCRIPTION]

Starting date: February to November 2023

Daily supervisors: Elia Trevisan, e.trevisan@tudelft.nl and Xinwei Wang, xinwei.wang@qmul.ac.uk

3D Environment Representation for Mobile Manipulation with Focus on Real-World Implementation

Description: The goal is to develop and implement a perception pipeline providing a 3D representation of the environment for mobile manipulation. [FULL DESCRIPTION]

Earliest starting date: January 2023

Daily supervisor: Luzia Knoedler, Chadi Salmi, Khaldon Araffa: {l.knoedler,c.salmi,k.araffa}@tudelft.nl

Compliant Mobile Manipulation

Description: The goal is to develop and implement a compliant whole-body motion controller for a mobile manipulation in environments shared with humans. [FULL DESCRIPTION]

Earliest starting date: January 2023

Daily supervisor: Luzia Knoedler, l.knoedler@tudelft.nl

OPTIMAL NEEDLE CHANNEL PLANNING FOR PATIENT-TAILORED BRACHYTHERAPY APPLICATORS FOR CERVICAL CANCER

Description: The goal is to develop and implement a sampling-based motion planner under differential constraints to generate feasible or (near) optimal needle source channels for treating cervical cancer. [FULL DESCRIPTION]

Earliest starting date: November 2022

Daily supervisor: Robin Straathof, MSc. - BME, TU Delft / Radiotherapy, Erasmus MC: r.straathof-1@tudelft.nl

Modelling Traffic Volume Impacts of Shared Automated Vehicles

Description: The objective of this thesis for TIL M.Sc. students is to model a transportation network with private vehicles, public transport, and on-demand ridepooling, to measure the impact of the latter on congestion. [FULL DESCRIPTION]

Earliest starting date: December 2021

Daily supervisor: Andres Fielbaum, a.s.fielbaumschnitzler@tudelft.nl, in collaboration with Prof. Baiba Pudane from TPM

Learning efficient communication policies for predictable multi-robot motion planning

Description: The objective of this thesis is to learn an efficient communication policy to improve behavior predictability in motion planning tasks. [FULL DESCRIPTION]

Earliest starting date: September 2021

Daily supervisor: Alvaro Serra, a.serragomez@tudelft.nl

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:
- a short CV (½ - 1 page)
- BSc & MSc transcripts
- a short motivation letter
- BSc thesis (PDF)
- any other information that might be relevant for the application

The motivation letter should state:
- what are you interested in? What would you like to achieve?
- the type of assignment you are interested in (more theoretical/more applied)
- whether you prefer a project at the TU or at a company
- the intended starting date
- your relevant experience (studies, technical projects, internships, hobbies, etc.)
- programming languages and related (C, C++, Python, ROS, etc.)

Past MSc projects

Ongoing and completed MSc thesis projects