MARC: Mälardalen University Automation Research Center

Status:

active

Start date:

2024-10-01

End date:

2032-09-30

The research profile Mälardalen University Automation Research Center (MARC) is dedicated to advancing digitalisation and automation in industry through a comprehensive approach involving multiple research areas and industrial partnerships. The expected scientific achievements include the development of innovative solutions in portable and smart automation, robotics and control, as well as digital infrastructure. These advancements will enable significantly enhanced production flexibility, responsiveness, and sustainability, aligning with the vision of creating a leading research and education environment.

[Show all publications]

Conditions for Mean and First-Moment Stability of Positive Markov Jump Linear Systems with Time-Varying Subsystems (Dec 2025)
Vittorio De Iuliis , Mojtaba Kaheni, Alessandro Papadopoulos, Costanzo Manes
64th IEEE Conference on Decision and Control (CDC) (CDC 2025)

A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations (Dec 2025)
Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis , Costanzo Manes , Alessandro Papadopoulos
64th IEEE Conference on Decision and Control (CDC) (CDC 2025)

Bridging TSN and 5G networks: Prototype design and evaluation for real-time embedded systems (Nov 2025)
Zenepe Satka, Mohammad Ashjaei, Josefina Nord , William Rosales Mayta , Didrik Nordin , Daniel Ragnarsson , Saad Mubeen
Journal of Systems Architecture, 2025 (JSA)

A Field-based Approach for Runtime Replanning in Swarm Robotics Missions (Sep 2025)
Gianluca Aguzzi , Martina Baiardi , Angela Cortecchia , Branko Miloradovic, Alessandro Papadopoulos, Danilo Pianini , Mirko Viroli
6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (ACSOS 2025)

CONAN-TSN: An Integrated Toolchain for CONfiguration and ANalysis of TSN Networks (Sep 2025)
Daniel Bujosa Mateu, Mohammad Ashjaei, Saad Mubeen
30th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2025)

Stochastic Scheduling for Human-Robot Collaboration in Dynamic Manufacturing Environments (Aug 2025)
Anders Lager, Branko Miloradovic, Giacomo Spampinato , Thomas Nolte, Alessandro Papadopoulos
34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025)

PartnerType
ABB AB Industrial
Alfa Laval Industrial
Ericsson AB Industrial
Hitachi Energy Industrial
MITC AB Industrial
Skanska AB Industrial
Volvo Construction Equipment AB Industrial
Automation Region Municipalities and others
Robotdalen Municipalities and others

Thomas Nolte, Professor

Email: thomas.nolte@mdh.se
Room: U3-068
Phone: +46-21-103178