Course syllabus

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SSY226 Design project in systems, control and mechatronics lp1, lp2 HT21 (7.5 hp)

Course is offered by the department of Electrical Engineering

Contact details

Examiner: 
Petter Falkman
Phone: 031-7723723
Email: petter.falkman@chalmers.se
Workplace: Room 5339  

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

Tuesday 27 Sept. at 12.00-12.45: Introduction and presentation of projects

Monday 3 Oct.: Each student has sent in a list of five preferred projects. 

Thursday 6 Oct.: Final project groups and supervisors will be sent out by mail and created on Canvas. 

Friday 7 Oct.: Contact your supervisor and arrange a first meeting.

Before study period 2: Prepare a project plan.

Monday 31 Oct. - Friday 4 Nov: Presentation of project plans to supervisors and submission of project plans on Canvas.

Monday 12 Dec.: Draft paper submission on Canvas.

Friday 16 Dec.: Paper-review submission.

Friday 13 Jan.: 11.00-14.00: Presentation/demonstration in M-building.

Friday 13 Jan.: Final paper and group member evaluation submission on Canvas.

 

Projects and Contacts

  1. Controlling a self-driving bike: Speed control under large steering angles, Contact: Jonas Sjöberg: jonas.sjoberg@chalmers.se
  2. Create a Data set for Road Surface Condition Segmentation, Contact: Jonas Sjöberg: jonas.sjoberg@chalmers.se
  3. Controlling a self-driving bike: Estimate and control bike speed, Contact: Jonas Sjöberg: jonas.sjoberg@chalmers.se
  4. Coordinated Control of self-driving bikes, Contact: Jonas Sjöberg: jonas.sjoberg@chalmers.se
  5. Controlling a self-driving bike: Robust control of balancing and trajectory tracking, Contact: Jonas Sjöberg: jonas.sjoberg@chalmers.se
  6. Enabling Cobots to Automatically Identify and Grasp Household Objects, Contact: Karinne Ramirez-Amaro, Karinne@chalmers.se
  7. Collaborative-Robot Assistant for Technicians, Contact: Emmanuel Dean, deane@chalmers.se
  8. Human-Robot Collaboration through Augmented Reality with the HoloLens2, Contact: Maximilian Diehl: diehlm@chalmers.se
  9. Provide Robots with a semantic scene understanding through Neural Motifs, Contact: Maximilian Diehl, diehlm@chalmers.se
  10. Control systems with delays, noise, and non-deterministic actuators for mobile robot trajectory planning, Contact: Emmanuel Dean denae@chalmers.se
  11. Human simulation and motion prediction in ROS2, Contact: Ze Zhang zhze@chalmers.se
  12. Reinforcement learning for robust mobile robot navigation control, Contact: Emmanuel Dean deane@chalmers.se
  13. Reinforcement learning for mobile robot trajectory planning, Contact: Ze Zhang zhze@chalmers.se
  14. Deriving an algorithm for a virtual towline to make a small marine craft follow a rescue boat – Follow Me, Contact: Viktor Lindström, viktor.lindstrom@chalmers.se
  15. Creating a Digital Twin of a Real Robot, Contact: Ahmet Tekden, tekden@chalmers.se
  16. Energy optimized movement for a lift system using modelling and machine learning, Contact: Ludvig Svedlund, ludvige@chalmers.se
  17. Object avoidance and tracking using the MARV-CAR testbed with a stereo camera, Contact: Viktor Lindström, viktor.lindstrom@chalmers.se
  18. A respiratory system model used to understand flow and volume data from newborn infants during assisted ventilatory support, Contact: Ants Silberberg: ants@chalmers.se
  19. Route building tool for coordination of fully automated vehicles in confined areas, Contact: Jonas Fredriksson jonas.fredriksson@chalmers.se
  20. Development of a Bluetooth App for Home Tuning and Maintenance of an Osseointegrated Prosthesis, Contact: Eric Earley, earley@chalmers.se
  21. E-skin challenge: Development and evaluation of tactile sensors based on piezoelectric principles, Contact: Rikard Karlsson, rikard.karlsson@chalmers.se
  22. E-skin: Continuous monitoring for assessment and diagnostics, Contact: Rikard Karlsson, rikard.karlsson@chalmers.se
  23. Optimal Path planning and torque vectoring with electric vehicles, Contact: Nikolce Murgovski, nikolce.murgovski@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 degree and university.

 

Workplaces

There are two workplaces that can be used if necessary. 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 so you get access to the prototype laboratory in the M-building basement. 

 

Description

This course has five parts:

  1. Preparing and presenting a project plan, 
  2. Delivering an engineering result
  3. Writing an article
  4. Peer review another groups article
  5. Presentation and demonstration of result

 

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 a little bit like a researcher.   In this part of the course the group will identify some challenges of the project 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 that you will solve during the project, for example evaluating various algorithms or defining a model for something. 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 on 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 have a discussion 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 hints.

Each group member will review and grade the group and the group members after the final article has been submitted.

The deadline for the draft-paper, the final paper and the presentations are hard ones. So do not miss them.

Course summary:

Date Details Due