Course syllabus
Course-PM
SSY226 Design project in systems, control and mechatronics lp1, lp2 HT25 (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
Wednesday 10 Sept. at 12.00-12.45: Introduction and presentation of projects
Monday 15 Sept.: Each student has sent in a list of five preferred projects.
Thursday 18 Sept.: Final project groups and supervisors will be sent out by mail and created on Canvas.
Friday 19 Sept.: Contact your supervisor and arrange a first meeting.
Before study period 2: Prepare a project plan.
Monday 3 Nov. - Friday 7 Nov: Presentation of project plans to supervisors and submission of project plans on Canvas.
Monday 15 Dec.: Draft paper submission on Canvas.
Friday 19 Dec.: Paper-review submission.
Friday 16 Jan.: 11.00-14.00: Presentation/demonstration in E-building.
Friday 16 Jan.: Final paper and group member evaluation submission on Canvas.
Projects and Contacts
- Control Strategy for Sustainable Electromobility - LQR and NMPC for Thermal Energy Management in Battery Electric Vehicles, Contact: Prashant Lokur, lokur@chalmers.se
- Designing Next-Gen Adaptive Exoskeleton for Physiotherapy and Rehabilitation, Fabian Just, just@chalmers.se
- Development of a real-time approximation of model predictive controllers of an unstable bike, Jonas Sjöberg: jonas.sjoberg@chalmers.se
- DORA - Dexterous Robot Assistant, Ahmet Tekden, tekden@chalmers.se
- Environmental representation and driving behavior modeling in tensor space for autonomous driving safety, Amin Assadi, amin.assadi@chalmers.se
- Exception-Resilient Multi-Agent Assembly using Supervisory Control, Martina Vinetti, vinetti@chalmers.se
- How Can Battery Electric Long-Haul Trucks Beat Diesel Trucks?, Anders Grauers, anders.grauers@chalmers.se
- Local Coordinator for a Fleet of Autonomous Mobile Robots, Sabino Roselli, rsabino@chalmers.se
- Mimicking the Human Leg - A Robotic Knee phantom with Virtual Variable Compliance for Enhanced Rehabilitation Robot Testing, Emmanuel Dean, deane@chalmers.se
- Modelling and Control of a Starship Model, Jonas Sjöberg, Jonas.sjoberg@chalmers.se
- Passive Exoskeleton for Therapy Gamification, Emmanuel Dean, deane@chalmers.se
- Risk-aware trajectory planning under multi-modal environmental uncertainty in autonomous driving, Yingshuai Quan, quany@chalmers.se
- Robust mobile robot control through adversarial training, Kilian Freitag, tamino@chalmers.se
- Sensor-Based Virtual Fences for Industrial Robot Safety, Emmanuel Dean, deane@chalmers.se
- Smart Step - 3D E-Skin Insoles for Precision Gait, Balance & Plantar Pressure Analysis, Emmanuel Dean: deane@chalmers.se
- Smart Textile-Exosuit for Real-Time and Load Monitoring in Sports, fabian just,just@chalmers.se
- Solving the trip-planning problem for electric vehicles through hybrid optimal control + machine learning approach, Lorenzo Montalto, lorenzo.montalto@chalmers.se
- Tactile Perception based on Hall-Effect for a Wheeled Humanoid Robot, Emmanuel Dean, deane@chalmers.se
- Autonomous Robot Games, Kilian Freitag, tamino@chalmers.se
- Fido - Generative AI powered University Campus Tour Guide Robot Dog, Shivesh Kumar, shivesh.kumar@chalmers.se
- Optimal Control of Autonomous Vehicle to Minimize Crash Severity, Erik Börve, borerik@chalmers.se
- Stability and Controllability of a Passive Rider Model for an E-Scooter, Fredrik Bruzelius, fredrik.bruzelius@chalmers.se
- Teaching Scheduling for the PhD students of Systems and Control, Sabino Roselli, rsabino@chalmers.se
- Drone racing, Knut Åkesson, knut@chalmers.se
- Gaussian splatting models for training multi-view machine-learning based vision models, Knut Åkesson, knut@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:
- Preparing and presenting a project plan,
- Delivering an engineering result
- Writing an article
- Peer review another groups article
- 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:
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