Course syllabus
Course-PM
SSY226 Design project in systems, control and mechatronics lp1, lp2 HT24 (7.5 hp)
The course is offered by the Department of Electrical Engineering
Contact details
Examiner:
Jonas Fredriksson
Phone: 031-7721359
Email: jonas.fredriksson@chalmers.se
Workplace: Room 5314
The aim
Using engineering and research skills acquired in previous courses to deliver a result that satisfies the hard-to-please customer (i.e. the supervisor).
Schedule
Wednesday, October 9, at 12.00-12.45: Introduction and presentation of projects
Monday, October 14: Each student has sent in a list of five preferred projects.
Thursday, October 17: Final project groups and supervisors will be sent out by mail and created on Canvas.
Friday, October 19: Contact your supervisor and arrange a first meeting.
Before study period 2: Prepare a project plan.
November 11-18: Presentation of project plans to supervisors and submission of project plans on Canvas.
Tuesday, January 7: Draft paper submission on Canvas.
Friday, January 10: Paper review submission.
Friday, January 17, 09.00-11.45: Presentation/demonstration in M-building (Studiehallen).
Friday, January 17: Final paper and group member evaluation submission on Canvas.
Projects and Contacts
- Calibrating tactile sensors using Deep Neural Networks, Contact: Rita Laezza, laezza@chalmers.se
- Learning Graph Structures for Collaborative Tasks, Contact: Karinne Ramirez-Amaro, karinne@chalmers.se
- Control of a self-driving E-scooter, Contact: Jonas Sjöberg, jonas.sjoberg@chalmers.se
- Controlling Selv-driving bikes using LabView, Contact: Austin Downey austind@chalmers.se
- Creating a common interface for tactile sensors using ROS2, Contact: Rikard Karlsson, rikard.karlsson@chalmers.se
- DORA - Dexterous Robot Assistant, Contact: Yasemin Bekiroglu, email: yaseminb@chalmers.se
- Creating a synthetic upper limb with controllable friction in the elbow, Contact: Rikard Karlsson, rikard.karlsson@chalmers.se
- Improving the mechanical design of a modular knee and elbow exoskeleton for orthopaedic rehabilitation, Contact: Fabian Just, just@chalmers.se
- EMG-based Guitar Hero, Contact: Kilian Freitag, tamino@chalmers.se
- Analyze and improve control of self-driving bikes, due to flexibilities and wind disturbances, Contact: Jonas Sjöberg, jonas.sjoberg@chalmers.se
- Exploring sensor fusion approaches for improved hand-tracking, Contact: Rita Laezza, laezza@chalmers.se
- Validate and compare performance of two self-driving bikes, specifically investigate the possibility to brake, Contact: Jonas Sjöberg jonas.sjoberg@chalmers.se
- Data-driven discovery of system dynamics using Scientific Machine Learning, Contact: Lasse Kötz, kotz@chalmers.se
- Real-Time Obstacle Avoidance for Mobile Robots using Deep Reinforcement Learning and Model Predictive Control, Contact: Kristian Ceder, cederk@chalmers.se
- RoboPoker: Developing an automated data collection system for tactile sensors using a robot arm, Contact: Rita Laezza, laezza@chalmers.se
- Tactile Perception based on Hall-Effect for a Wheeled Humanoid Robot, Contact: Emmanuel Dean deane@chalmers.se
The groups
Each project group will consist of 3 to 6 persons. Mixed project groups will be created based on student interest, and the aim is to achieve a mix of students based on bachelor's degree and university.
Workplaces
Two workplaces can be used if necessary: the CASE lab in the ED building and the Production Systems Laboratory in the M-building. These rooms are equipped with tools that can be used. If you need more machines, we can arrange for you to get access to the prototype laboratory in the M-building basement.
Description
This course has five parts:
- Preparing and presenting a project plan,
- Delivering an engineering result
- Writing an article
- Peer review another group's article
- Presentation and demonstration of the results
Writing an article
Being a researcher is fun and interesting. Even if you do not plan to continue as a PhD student, a successful engineer should approach new challenges like a researcher. In this part of the course, the group will identify some of the project's challenges and write a research article. The article should not be a project report! Read http://personal.lse.ac.uk/sorensec/this_is_not....html about writing papers.
The suggestion is to find a detailed challenge you will solve during the project, for example, evaluating various algorithms or defining a model. Find other articles by searching at http://scholar.google.se/ that may have done the same thing. Based on the literature study, do some evaluation/testing /modeling /hard thinking and write down the result. Then, spend some time writing a discussion about it.
Each paper will be “peer-reviewed” by the other students and the supervisor.
Examination
The marking grades used are fail, 3, 4, and 5.
50% of the grade is based on the article, and 50% is based on the project execution and result.
In the middle of the course, you will discuss with your supervisor about the grade. If you continue on the same track, that grade is what you will get. If you would like to change the grade up or down, the supervisor will give you suggestions.
Each group member will review and grade the group and the group members after the final article has been submitted.
The deadlines for the draft paper, the final paper, and the presentations are hard. So do not miss them.
Course summary:
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