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Project Database

This page contains the database of possible research projects for master and bachelor students in the Biorobotics Laboratory (BioRob). Visiting students are also welcome to join BioRob, but it should be noted that no funding is offered for those projects (see https://biorob.epfl.ch/students/ for instructions). To enroll for a project, please directly contact one of the assistants (directly in his/her office, by phone or by mail). Spontaneous propositions for projects are also welcome, if they are related to the research topics of BioRob, see the BioRob Research pages and the results of previous student projects.

Search filter: only projects matching the keyword 3D are shown here. Remove filter

Amphibious robotics
Computational Neuroscience
Dynamical systems
Human-exoskeleton dynamics and control
Humanoid robotics
Miscellaneous
Mobile robotics
Modular robotics
Neuro-muscular modelling
Quadruped robotics


Miscellaneous

752 – Defect detection and correction in a 3D printing filament recycling line
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Category:semester project
Keywords:3D, Firmware, Programming, Vision
Type:10% theory, 40% hardware, 50% software
Responsibles: (MED 1 1025, phone: 36630)
(DLLEL-1 20, phone: 39963)
Description:

3D printing of polymers is today a well-implemented process for many applications, including rapid prototyping. Several tens of thousands of parts are produced every year in the 3D printing workshop at SPOT, EPFL's main student makerspace. Most of these parts are produced by FDM 3D printing, using PETG filament. Every year, around 20 kg of thermoplastic waste is thus generated.

As part of its sustainability approach, SPOT has acquired a recycling line (grinding, drying, extrusion) to recycle this waste and produce new 3D printing filaments in-house. Two previous semester projects have optimized the recycling process. However, the filaments obtained can still present random defects (inclusions, diameter variations) which make them unreliable for mass 3d printing. Thus, a device has been designed and built in a previous semester project in order to detect those defects in the filament.

This project aims to further develop the device in order to improve filament quality control and to facilitate the correction of detected defects.

The various steps in the project involves:

  • Adding a spool defect mapping function to the existing device.
  • Adding a semi-automatic defect correction function.
  • Characterizing the entire process and evaluate the device's efficiency.

The student is expected to be rigorous and patient, and to have good programming and prototyping skills (mechanical design, 3D printing, laser cutting, etc). A previous experience prototyping at SPOT is required.



Last edited: 20/02/2025

Mobile robotics

744 – Multi-robot coordination of assistive furniture swarm in multiple layers using velocity potential field modulation
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Category:master project (full-time)
Keywords:3D, Control, Motion Capture, Programming, Python, Robotics, Simulator
Type:40% theory, 10% hardware, 50% software
Responsible: (undefined, phone: 37432)
Description:We are exploring the concept of a mobile furniture swarm that are intended to assist users with limited mobility in their daily indoor activities. To facilitate multiple uses of limited space, mobile furniture pieces can autonomously rearrange their formation (e.g., setups for meetings, parties, or cleaning). To enhance daily autonomy, assistive furniture can actively move out of the way for a wheelchair user passing by, or follow the user to help carrying objects. Our previous algorithm, Velocity Potential Field Modulation (VPFM), has been proposed to deal with the dense coordination problem of a polytopic swarm in 2D scenarios. For more information, please check out our recent publication in IEEE RA-L: -- Title: Velocity Potential Field Modulation for Dense Coordination of Polytopic Swarms and Its Application to Assistive Robotic Furniture -- Paper: https://ieeexplore.ieee.org/document/11027457 -- Code: https://github.com/Mikasatlx/VPFM-BioRob-EPFL In this master thesis, we will focus on extending VPFM to multiple layers (or height), which can increase the efficiency of using the 3D space. For example, the lower table can move through a higher table, and the seat of a chair can go under a higher table, but the back of a chair can not. The current framework is to couple the coordination behavior over multiple layers, and introduce stochastic component to break the deadlocks/oscillations. We will conduct both simulations and real-world experiments (using VICON motion capture system) to evaluate its effectiveness and real-time performance. For thesis with meaningful results, we will aim for a submission to the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026).

Last edited: 15/06/2025

2 projects found.

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