Course syllabus
Course-PM
SSY226 Design project in systems, control and mechatronics lp1, lp2 HT26 (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 9 Sept. at 12.00-12.45: Introduction and presentation of projects
Monday 14 Sept.: Each student has sent in a list of five preferred projects.
Thursday 17 Sept.: Final project groups and supervisors will be sent out by mail and created on Canvas.
Friday 18 Sept.: Contact your supervisor and arrange a first meeting.
Before study period 2: Prepare a project plan.
Monday 2 Nov. - Friday 6 Nov: Presentation of project plans to supervisors and submission of project plans on Canvas.
Monday 14 Dec.: Draft paper submission on Canvas.
Friday 17 Dec.: Paper-review submission.
Friday 15 Jan.: 12.00-14.00: Presentation/demonstration in Study hall M-building.
Friday 15 Jan.: Final paper and group member evaluation submission on Canvas.
Projects and Contacts
- Assessment of Bidirectional EV Charging for Residential Energy Autonomy under Di:erent Geographical Conditions, Contact: Francesco Popolizio, frapop@chalmers.se
- Can a neural network replace offline system identification in vehicle thermal-management MPC?, Contact: Prashant Lokur, lokur@chalmers.se
- Can autonomous vehicles make safer decisions in unavoidable crashes?, Contact: Nikolce Murgovski, nikolce.murgovski@chalmers.se.
- Combining optimal control and machine learning in electromobility, Contact: Lorenzo Montalto, lorenzo.montalto@chalmers.se
- Continual Object Pose Tracking Under Occlusions, Contact: Alex Mitrevski, alemitr@chalmers.se
- Autonomous Robot Games 2.0, Contact: Kilian Freitag tamino@chalmers.se
- Design and construction of a robotic arm with variable potential energy injection, Contact: Arturo Desaix López Rojas arturod@chalmers.se
- DORA - Dexterous Robot Assistant, Contact: Yasemin Bekiroglu, yaseminb@chalmers.se
- Dual- vs Single-Sided Knee Exoskeletons: Motion Capture Analysis of Axis Misalignment and Knee Stability, Contact: Fabian Just, just@chalmers.se
- Fault-Tolerant Optimal Control Allocation in Autonomous Over-actuated Vehicles, Contact: Kartik Shetty kartiks@chalmers.se
- Language-Grounded Manipulation with the AgileX NERO Arm, Contact: Sabino Roselli: rsabino@chalmers.se
- Language-Grounded Navigation with the Limo Cobot, Contact: Sabino Roselli: rsabino@chalmers.se
- Learning-Based Terminal Costs for Short-Horizon MPC in Autonomous Driving, Contact: Wenliang Zhang, wenliang@chalmers.se
- Multi-Agent Robot Simulation for Controlled Agent Behaviour Modification, Contact: Alex Mitrevski alemitr@chalmers.se
- Quality-Aware Production Scheduling from Machine Degradation Data, Contact: Sabino Roselli: rsabino@chalmers.se
- Robotic Kitting: Beyond Pick-and-Place, Contact: Arturo Desaix López Rojas, arturod@chalmers.se
- Social Robot Navigation Using an Agentic LLM, Contact: Alex Mitrevski, alemitr@chalmers.se
- Stochastic Assembly Line Rebalancing under Task-Time Variability, Contact: Martina Vinetti, vinetti@chalmers.se
- Tactile custom gripper for UR10 robot arm, Contact: Arturo Desaix López Rojas, arturod@chalmers.se
- Digital-Twin-Based Machine Learning for Robotic Bin-Picking, Contact: Knut Åkesson, knut@chalmers.se, Kilian Freitag.
- Human-in-the-Loop Collaborative Bin-Picking with Online Human Tracking, Contact: Knut Åkesson, knut@chalmers.se, Erik Brorsson
- Model-Predictive Control and Reinforcement Learning for Autonomous Mobile Robots in Crowded Environments, Contact: Knut Åkesson, knut@chalmers.se, Kristian Ceder.
- Neural-Network Modeling of Traffic-Dependent Longitudinal Vehicle Dynamics, Contact: Ali Azarbahram, ali.azarbahram@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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