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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 Vision 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

754 – Development of a vision-based mobile robotic platform
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Category:semester project, master project (full-time), internship
Keywords:Control, Experiments, Learning, Python, Robotics, Vision
Type:20% theory, 20% hardware, 60% software
Responsible: (MED11626, phone: 41783141830)
Description:INTRODUCTION Recent vision-language-action models (VLAs) build upon pretrained vision-language models and leverage diverse robot datasets to demonstrate strong task execution, language following ability, and semantic generalization. Despite these successes, VLAs struggle with novel robot setups and require fine-tuning to achieve good performance, yet how to most effectively fine-tune them is unclear given many possible strategies. This project aims to 1) develop a customised mobile robot platform that is composed of a customised and ROS2-based mobile base and robot arms with 6DOF (ViperX 300 S and Widowx 250), and 2) establish a vision system equiped with RGBD cameras which is used for data collection, 3) deploy a pre-trained VLA model locally for robot manipulation with a focus of household environment, and 4) platform testing, validation and delivery. Continuous research work of the current project can be your master thesis (Target: graduate from 2026 on-site study). For appliciants not from EPFL, please check the conditions and requirements at EPFL before reaching me. Interested students can apply by sending an e-mail to sichao.liu@epfl.ch The position is open until having final candidates.

Last edited: 15/05/2025

2 projects found.

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