Filippo Bosi

Filippo Bosi

Robotics Engineer

Cobod International

Biography

Hi I am Filippo! As a Robotics and Automation Engineer Graduate, I plan to leverage my skills in software, architecture, simulation, and robot assembly to design, develop, test, and deploy robotic systems. Thriving in dynamic work environments, I am enthusiastic to collaborate closely with industry experts to pioneer innovative robots that push production efficiency to new heights.

Interests
  • Mobile Robots
  • Path Planning
  • Robot Dynamics
  • Automation
  • Travelling
Education

  • MSc Electrical Engineering - Automation and Robot Technology 🇩🇰, 2022-2024

    DTU (Technical University of Denmark), Lyngby, Denmark

  • Exchange Semester 🇰🇷, 2023

    KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea

  • BSc in Automation Engineering (Double Degree) 🇮🇹, 2018-2021

    University of Bologna, Bologna, Italy

  • Exchange Year 🇨🇳, 2019-2020

    同济大学 (Tongji University), Shanghai, China

Experience

 
 
 
 
 
COBOD International
Robotics Engineer
COBOD International
May 2023 – Present Copenhagen, Denmark
  • Skills: Robot Operating System (ROS), ROS2, ros2_control, Robot assembly, RoboDK, C++, Python, CMake, Qt, Ubuntu, git, RViz, Gazebo, SOLIDWORKS.
 
 
 
 
 
COBOD International
Robotics Engineer - Student Assistant
COBOD International
October 2022 – May 2023 Copenhagen, Denmark
  • Awarded student worker of the year 2023.
  • Built and programmed robotic solutions to redefine the construction industry.
  • Skills: Robot Operating System (ROS), ROS2, Robot assembly, RoboDK, C++, Python, CMake, Qt, Ubuntu, git, RViz, Gazebo, SOLIDWORKS.
 
 
 
 
 
LIAM LAB
PLC Programmer - BSc Thesis Project
LIAM LAB
February 2021 – October 2021 Bologna, Italy
  • Developed an algorithm for phasing and buffering e-commerce items.
  • Tested and debugged the solution on a digital twin of a packaging machine.
  • Skills: Beckhoff TWINCAT3, ISG-Virtuos, CoDeSys, IEC 61131-3.

Accomplish­ments

COBOD International
Student Worker of the Year 2023
COBOD International Jan 2023 – Dec 2023
Awarded to the best performer student worker at COBOD International
ETH Zürich & edX
Completed the 15-weeks online course “AMRx: Autonomous Mobile Robots” organized by ETH Zürich and edX.
See certificate
ETS
TOEFL iBT
ETS Mar 2021
Score: 102
See certificate
University of Bologna
Full scholarship awarded to 10 students for taking part in a double degree program with Tongji University, covering expenses during the one year spent in Shanghai, China.

Projects

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All Mobile Robots Motion Planning Automation
Mapping and Navigation for a Robot Waiter
This project implements mapping and navigation algorithms for a simulated robot waiter in a coffee shop environment. Here, Probabilistic Roadmap (PRM) and Adaptive Monte Carlo Localization (AMCL), along with the Robot Operating System (ROS) and Gazebo simulation, are used to solve different tasks. The TurtleBot3 robot, equipped with a laser distance sensor and camera module, is used for validation. Mapping involves teleoperation and frontier-based exploration, generating binary occupancy maps in MATLAB. Localization is performed using a particle filter, and navigation includes evaluating ROS2 Nav2 and implementing a PRM planner in MATLAB.
Paper YouTube
Mapping and Navigation for a Robot Waiter
Whole-body dynamics of a quadruped robot for simulation
Using the Aliengo quadruped robot model, the goal was to compute different robot parameters with increasing difficulty.
GitHub
Whole-body dynamics of a quadruped robot for simulation
Sampling-based motion planning algorithms
This was the main project of the course “Robot Task and Motion Planning” at KAIST. This project was intended to make the students truly understand and appreciate why sampling-based motion planning algorithms have become the dominant paradigm in robotics. The students were required to implement several sampling-based algorithms and answer a series of questions that tested their understanding of motion planning algorithms.
Report GitHub
Sampling-based motion planning algorithms
BonsAI - Your personal plant care assistant
BonsAI is an intelligent and innovative system aimed at taking care of plants and tracking their health status. One of its key features is indoor/outdoor recognition and the ability to adapt the water schedules based on the weather forecast. BonsAI is an intelligent and innovative system aimed at taking care of plants and tracking their health status. One of its key features is indoor/outdoor recognition and the ability to adapt the water schedules based on the weather forecast.
GitHub BonsAI App ESP32 and Arduino console App
BonsAI - Your personal plant care assistant

Get in touch

Feel free to contact me :)