Li Jiangfan - A Robotics Graduate
  • Dark Theme
    Light Theme Dark Theme System Theme
  • Tags
  • 3D Printing
  • ABB
  • Arduino
  • Baxter
  • BioMed
  • C
  • C++
  • Distributed Algorithm
  • Games
  • Hardware Design
  • Hiking
  • Image Processing
  • Intelligent Agents
  • Interdisciplinary
  • Intern
  • Java
  • Lake
  • Lauzhack
  • Matlab
  • Motion Control
  • Motion Planning
  • MPC
  • Object Detection
  • OMPL
  • OpenRave
  • Optimization
  • Panda
  • PCB
  • PyBullet
  • Python
  • Raspberry Pi
  • Reinforcement Learning
  • Repast
  • Robot Control
  • ROS
  • Starbew Valley
  • Sustainability
  • Switzerland
  • TensorFlow
Hero Image
Interdisciplinary Robot Competition

Feb 2022 - Jun 2022 School of Engineering, EPFL Professor: Auke Ijspeert Supervisor: Alessandro Crespi Coach: Kai Junge In this project, together with Jianan Mao and Ramy Charfeddine, we designed and implemented a soft-gripper robot to collect PET bottle in various terrains. We used a Raspberry Pi running a object detection model(EfficientDet TensorFlow Lite version) to detect the bottles, a Arduino Mega to control motors, servos and sensors to move to target waypoints without colliding with the obstacles.

  • Hardware Design
  • Arduino
  • Raspberry Pi
  • PCB
  • Object Detection
  • TensorFlow
  • Interdisciplinary
  • Python
  • C++
  • 3D Printing
July 1, 2020 | 2 minutes Read
Navigation
  • About
  • Experiences
  • Education
  • Projects
  • Achievements
  • Recent Posts
Contact me:
  • jiangfan.li@epfl.ch
  • Jiangfan Li
  • +41 779016202

Liability Notice: This theme is under MIT license. So, you can use it for non-commercial, commercial, or private uses. You can modify or distribute the theme without requiring any permission from the theme author. However, the theme author does not provide any warranty or takes any liability for any issue with the theme.


Toha Theme Logo Toha
© 2026 Copyright.
Powered by Hugo Logo