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Projects in Automatic Control 2024

Johnsson, Charlotta (2024)
Department of Automatic Control
Abstract
The Department of Automatic Control at Lund University gives a project course in Systems, Control and Learning (FRTN70) twice per year. The course is given at the advanced level (7.5 ECTS credits), and the students work in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this course, the students get an opportunity to explore implementational aspects of concepts they have learned in previous control systems courses.With a faculty member or doctoral student as an advisor, the groups independently formulate an objective and an associate time plan. Subsequent activities typically involve modelling, controller design,... (More)
The Department of Automatic Control at Lund University gives a project course in Systems, Control and Learning (FRTN70) twice per year. The course is given at the advanced level (7.5 ECTS credits), and the students work in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this course, the students get an opportunity to explore implementational aspects of concepts they have learned in previous control systems courses.With a faculty member or doctoral student as an advisor, the groups independently formulate an objective and an associate time plan. Subsequent activities typically involve modelling, controller design, implementation, documentation, and verification. The students present their work through two feedback seminars, an oral presentation, a demonstration session, and a written report.
The reports of the fall 2024 edition of the course are presented in this booklet. This year, the cohort consisted of 21 students, working in teams of 1-5 persons. The course included 6 projects; Jenga Robot, Robotic Pushing, Playing a Racing Game using Q-learning, Omnibot driving, Realtime Collision Avoidance for a Quadcopter Swarm, and Experience-Sharing in Multi-Agent Systems.
Every group managed to perform successful and satisfactory real-time experiments to generate the final experimental results ready in time for the demonstration in January 2025.
Doctoral students Marko Guberina, Zheng Jia and Max Nyberg Carlsson have served the course as project advisors, research engineers Alexander Pisarevsky, Anders Blomdell and Anders Nilsson have supported the groups throughout their projects, and Mika Nishimura has help with student registration and related matters.
To find out more about the course, please visit http://www.control.lth.se/course/FRTN70.

Lund, February 2025
Charlotta Johnsson, Course responsible FRTN70 (Less)
Please use this url to cite or link to this publication:
author
Johnsson, Charlotta
supervisor
organization
year
type
L3 - Miscellaneous, Projetcs etc.
subject
report number
TFRT-7671
other publication id
0280-5316
language
English
id
9212769
date added to LUP
2025-09-18 14:55:12
date last changed
2025-09-18 14:59:33
@misc{9212769,
  abstract     = {{The Department of Automatic Control at Lund University gives a project course in Systems, Control and Learning (FRTN70) twice per year. The course is given at the advanced level (7.5 ECTS credits), and the students work in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this course, the students get an opportunity to explore implementational aspects of concepts they have learned in previous control systems courses.With a faculty member or doctoral student as an advisor, the groups independently formulate an objective and an associate time plan. Subsequent activities typically involve modelling, controller design, implementation, documentation, and verification. The students present their work through two feedback seminars, an oral presentation, a demonstration session, and a written report.
 The reports of the fall 2024 edition of the course are presented in this booklet. This year, the cohort consisted of 21 students, working in teams of 1-5 persons. The course included 6 projects; Jenga Robot, Robotic Pushing, Playing a Racing Game using Q-learning, Omnibot driving, Realtime Collision Avoidance for a Quadcopter Swarm, and Experience-Sharing in Multi-Agent Systems.
Every group managed to perform successful and satisfactory real-time experiments to generate the final experimental results ready in time for the demonstration in January 2025.
 Doctoral students Marko Guberina, Zheng Jia and Max Nyberg Carlsson have served the course as project advisors, research engineers Alexander Pisarevsky, Anders Blomdell and Anders Nilsson have supported the groups throughout their projects, and Mika Nishimura has help with student registration and related matters.
 To find out more about the course, please visit http://www.control.lth.se/course/FRTN70.

Lund, February 2025
Charlotta Johnsson, Course responsible FRTN70}},
  author       = {{Johnsson, Charlotta}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Projects in Automatic Control 2024}},
  year         = {{2024}},
}