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

767 – Data collection pipeline for sensorized amphibious robot experiments
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Category:semester project, master project (full-time)
Keywords:3D, C, C++, Communication, Computer Science, Data Processing, Experiments, Firmware, Image Processing, Motion Capture, Programming, Python, Robotics, Synchronization, Vision
Type:5% theory, 20% hardware, 75% software
Responsible: (MED 1 1626, phone: 38676)
Description:

This project has been taken

In this project, the student will work closely with the other team members to develop data collection pipelines during the experiments of a sensorized amphibious robot and, optionally, use them to collect and analyze experimental data. Specifically, the student needs to:

  • Build a multi-camera system for tracking 3-D kinematics of the robots, ideally in real time. The system is expected to work in both indoor and outdoor experiments. We already have a few working setups, and the student needs to replicate them using new hardware, calibrate the system, and implement real-time tracking nodes in ROS2.
  • Synchronize data collected from multiple resources: cameras, force sensors, motors, etc.
  • Visualize the data collected in Mujoco viewer, RViz, Blender, or other 3D visualizers.
  • Help collect experimental data.
  • (For master project only) Help analyze data or use learning algorithms to find underlying patterns.

The student is expected to be familiar with programming in C/C++ and Python, using ROS2, and robot kinematics. Experience with Docker, Linux kernel, communication protocols, and computer vision algorithms would be a bonus.

The student who is interested in this project shall send the following materials to the assistant: (1) resume, (2) transcript showing relevant courses and grades, and (3) other materials that can demonstrate their skills and project experience (such as videos, slides, code repositories, etc.).



Last edited: 17/01/2026

One project found.