Teaching-by-project & Teaching-by-competition: Towards Robotics Education for Industry 4.0
This page describes the implantation of robotics education into the undergraduate (AC20) and postgraduate (TW53, UN56, MC55, TO52) courses at the University of Technology of Belfort-Montbliard (UTBM) in France, in order to meet the challenges brought by the arrival of industry 4.0. By using the teaching-by-project and teaching-by-competition approaches, we not only teach mobile robotics, but also cover industrial robotic arms, driven by current trends in mobile manipulators. In addition, the content of the projects is oriented towards the problems and needs of the industry and is directly linked to the research conducted by the mentors. We present in this page the results achieved by our very own students, in chronological order.
Spring Semester 2024
Course code: UN56 - Digital technologies and methods in Industry 4.0
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team Nuclear Rescue
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team Tchernobyte
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team Tech Titans
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team FC Nuclear Security Sport
Spring Semester 2023
Course code: UN56 - Digital technologies and methods in Industry 4.0
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team Fukusixma
- RoboMaster Challenge: Nuclear Power Plant Rescue, by team RowRiors
Autumn Semester 2023
Course code: ESP4 - Tutored Project
- Human activity recognition with HSR robot (for RoboCup 2023)
Spring Semester 2022
Course code: TW53 - Industrial Project
- Towards the Application of Robotic Dogs in Industrial Environments
Course code: TO52 - Development Project
- Data annotation for the EU long-term dataset, by Yingqiu Chen
Autumn Semester 2021
Course code: UN56/TW53/TW43
- TurtleBot@UTBM
Course code: TW53 - Industrial Project
- MoveIt! My first experience with ROS-Industrial, by Emeric Humbert
Spring Semester 2021
Course code: TW53 - Industrial Project
- Intelligent transformation of traditional assembly lines, by Jiahao Du, Yuanhao Yao, and Bin Wang
Course code: UN56 - Digital technologies and methods in Industry 4.0
- Worker Skeleton Tracking with Intel RealSense Depth Camera D455, by Genmeng Wang, Ming Fan, and Chenzhe An
Autumn Semester 2020
Course code: TW53 - Industrial Project
- Vision-based analysis and prediction of gestures in assembly line, by Axel Heren, Mohammed Bardag, and Hanane Boukour
- Installation of a robot on an assembly line, by Loïc Henriet, Clément Vacher, and Marie Perrot
Course code: TO52 - Development Project
- Autonomous driving with a TurtleBot3 Burger, by Weitao Yan
Spring Semester 2020 (COVID-19, fully remote teaching)
Course code: UN56 - Digital technologies and methods in Industry 4.0
- Template matching (with KITTI dataset), by Zihao Chen, Yiliang Huang, and Thomas Vuillemin
- Point cloud segmentation (with KITTI dataset), by Zihan Peng, Lili Chang, and Lin Wang
Course code: AC20 - Acquisition of Knowledge
- Dynamic object awareness navigation with Toyota HSR robot (for World Robot Challenge 2020), by Thomas Duvinage
Autumn Semester 2019
Course code: TW53 - Industrial Project
- Robot-in-the-loop 2, by Majd Masri, Irène Bon, and Axel Heren
- TurtleBot3 with PhantomX manipulator 2, by Hakan Kaya, Nicolas Morenton, and Julien Pereira
Spring Semester 2019
Course code: UN56 - Digital technologies and methods in Industry 4.0
- LiDAR-camera fusion, by Cecile Goetz and Stephanie Roy
- TurtleBot3 with PhantomX manipulator, by Thibaut Bavoux, Hakan Kaya, and Lucas Lachat
January 2019
We received two PhantomX Reactor Robot Arm Kits!
Autumn Semester 2018
Course code: TW53 - Industrial Project
- Robot-in-the-loop, by Cédric D’ambelle, Mathilde Li Crapi, and Albin Pouzergues
- Extended reading: yz16ria, yz17robotics, gestom-whycon, H2020 ILIAD project
Spring Semester 2018
Course code: TW53 - Industrial Project
- First contact with the mobile robot, by Florian Bellini, Gaetan Delorme, and Fabian Cedomirovic
Course code: TO52 - Development Project
- SLAM with 3D lidar, by Romain Henry and Florent Willemin
- Topological map for autonomous driving, by Jin Pan
- Extended reading: open_street_map, osm_planner, gps_goal
- First experiences with SLAM, by Yutian Zhang
- Extended reading: openslam, slam_gmapping, rgbdslam