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.

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


Amphibious robotics

780 – Tracking and synchronization pipeline for amphibious robot experiments
Show details
Category:semester project, bachelor semester project
Keywords:C++, Data Processing, Experiments, Linux, Motion Capture, Programming, Python
Type:10% theory, 10% hardware, 80% software
Responsible: (MED 1 1626, phone: 38676)
Description:

This project is intended as a summer project only.

In this project, the student will work closely with other team members to develop data collection pipelines for experiments with an amphibious robot, and use these pipelines to collect and analyze experimental data. Specifically, the student will:

  • Use a 4-camera system to track the 3D kinematics of the robot, ideally in real time. This includes calibrating camera intrinsics and extrinsics, labeling data and training a DeepLabCut network or applying marker-tracking libraries for offline tracking, and implementing real-time tracking nodes in ROS 2.
  • Synchronize data collected from multiple sources, including cameras, force sensors, motors, and other onboard sensors.
  • Visualize the collected data in MuJoCo viewer, RViz, Blender, or other 3D visualization tools.
  • Assist with experimental data collection.

The student is expected to be familiar with programming in C/C++ and Python, ROS 2, and robot kinematics. Experience with Docker, Linux kernel development, communication protocols, and computer vision algorithms would be a plus.

Students interested in this project should send the following materials to the project assistant: (1) a resume, (2) a transcript showing relevant courses and grades, and (3) any additional materials that demonstrate their skills and project experience, such as videos, slides, code repositories, or previous project reports.

Last edited: 17/06/2026

One project found.