Dr. Javier Alonso-Mora, Assistant Professor

Autonomous Multi-Robots Lab. Delft University of Technology

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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.

Learning Online to Improve Collision Avoidance Performance

Description: The objective of this thesis is to research on online learning methods for navigation among humans. [FULL DESCRIPTION]

Earliest starting date: 01/10/2020

Daily supervisor: Bruno Brito, bruno.debrito@tudelft.nl

Socially compliant motion planning for autonomous vehicles

Description: The objective of this thesis is to develop a motion planning method for navigation in inland waterways, among other manned and unmanned vessels. [FULL DESCRIPTION]

Earliest starting date: 01/09/2020

Daily supervisor: Dr. J. Alonso-Mora, j.alonsomora@tudelft.nl

External collaborators: Amsterdam Institute for Advanced Metropolitan Solutions (AMS), Roboat project, Researchlab Automated Shipping

Risk-aware motion planning for multi-robot systems

Description: The objective of this thesis is to develop a risk-aware motion planning method for multi-robot systems in dynamic environments. [FULL DESCRIPTION]

Earliest starting date: 01/09/2020

Daily supervisor: Hai Zhu, h.zhu@tudelft.nl

Dynamic Retail Vehicle Routing Problems as a Markov Decision Process

Description: The objective of this thesis is to model and implement a retail related vehicle routing problem as a Markov decision process. [FULL DESCRIPTION]

Earliest starting date: 01/09/2020

Daily supervisor: Maximilian Kronmueller, m.kronmuller@tudelft.nl

Part of AIRLab Delft, Ahold Delhaize

Joint design of new and traditional mobility services

Description: The objective of this thesis is to propose ways to design optimally transport systems that integrate ond-demand ridesharing with traditional public transport. [FULL DESCRIPTION]

Earliest starting date: June 2020

Daily supervisor: Andres Fielbaum, a.s.fielbaumschnitzler@tudelft.nl

Unreliability in Ridesharing On-Demand Mobility Systems

Description: The objective of this thesis is to understand and face the sudden changes that ridesharing users experience when the vehicle changes its route to serve new users. [FULL DESCRIPTION]

Earliest starting date: June 2020

Daily supervisor: Andres Fielbaum, a.s.fielbaumschnitzler@tudelft.nl

External collaborators: Oded Cats and Rafal Kucharski (Smart Public Transport Lab)

Self-organised multi-robot goal identification and allocation

Description: The objective of these thesis is to research and employ recent advances in unlabeled multi-robot motion planning in the field of high-level scene reasoning. [FULL DESCRIPTION]

Earliest starting date: 01/09/2020

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