Students form relatively small groups and construct their own unique autonomous robot for a given contest. Through this process, students are expected to have experience of realizing ideas on the robot exploiting all the available resources obtained in the courses in this department.
Students will be familiarized with the system construction process through the group project using the knowledge of microcomputers, sensors and actuators, electrical circuits, and all the techniques in systems and control engineering.
By the end of course, students will have the ability to:
1) construct a unique autonomous robot by integrating the knowledge in both hardware and software
2) manage a group project
3) have skills to communicate with other engineers through the contest and poster sessions
Autonomous robots, Mechatronics, group project, project management
|✔ Specialist skills||Intercultural skills||✔ Communication skills||✔ Critical thinking skills||✔ Practical and/or problem-solving skills|
At the beginning of the course, tutorial assignments are given to refresh the memory and skills on mechatronic systems. Then there are (about) 15 workshop sessions to construct autonomous robotic machines along with interview sessions and contests to show the performance of the machines. At the end of the course, 2 poster sessions are scheduled to present what each group has done in this group project.
|Course schedule||Required learning|
|Class 1||Tutorial sessions Workshops Exhibitions Poster sessions||Tutorial sessions: resume the skills and knowledge on mechatronic systems Workshops: Building robotic systems including electronic circuits and softwares Exhibitions: Showing performance of the robots Poster sessions: Presenting the results and key features of the project|
Handouts will be provided on the courses.
Grading is based on the products, the poster presentation, final reports, and class attendance.
Note that the results at the contest are not the main factor for the grading.
Students must have completed Design of Mechatronic Systems (SCE.S201) or have equivalent knowledge.
You will find the gap between idealistic models and machines in reality. We expect your challenges overcoming the gap to build systems that work in real environment.