Robotics

Focus:

The robotics research group is mainly conducting research in the area of autonomous collaborating systems. The focus is on adaptive autonomy, safe and secure path planning, real-time 3D vision, mission planning for collaborating autonomous vehicles, human-robot interaction, and dependable electronics in biomedical engineering and avionic systems


Project TitleStatus
Aggregate Farming in the Cloud active
Brain technology in stroke rehabilitation – increasing motor recovery active
Collaborative Adaptive Autonomous Agents active
DPAC - Dependable Platforms for Autonomous systems and Control active
eCraft2Learn - Digital Fabrication and Maker Movement in Education: Making Computer-supported Artefacts from Scratch active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
RECOG: Closed-loop neurofeedback innovation for cognitive rehabilitation active
SafeDeep: Dependable Deep Learning for Safety-Critical Airborne Embedded Systems active
Självkörande cyklar för mer verklighetstrogen utveckling och verifiering av fordons säkerhetssystem för undvikande av cykelolyckor active
Unicorn -Sustainable, peaceful and efficient robotic refuse handling active
Volvo Group Arena active
A Canonical Model of the Primary Visual Cortex finished
Analysis and Design of Low-Phase-Noise Integrated Voltage-Controlled Oscillators for Wide-Band RF Front-Ends finished
AVANS - civilingenjörsprogrammet i tillförlitliga flyg- och rymdsystem finished
Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems finished
Frequency Synthesizer for Multi-Standard RF Communication Systems finished
GIMME-SPACE finished
GIMME3 - Semi-fault tolerant next generation high performance computer architecture based on screened industrial components finished
Implementation of digital filters finished
Intelligent Human Robot Interaction finished
ITS-EASY, SVAHLA - Stereo Vision Assisted Hauler and Loader Alignment finished
MALTA finished
Mobile Robotics finished
Modular Lightweight Robotics finished
Music in Motion - A Project that combines Arts with Science finished
Ralf II finished
RALF3 - Software for Embedded High Performance Architectures finished
Real-time Heterogeneous Systems finished
RoboCat finished
Robocygne finished
Robot Colleague - A Project in Collaborative Robotics finished
RUNNER finished
Safety Critical Industrial Machine Vision Inspection and Control System (SAFEi) finished
Saga finished
Sags-tolerant and mains-friendly electrical drives finished
Smart and networking underWAter Robots in cooperation MesheS finished
Two Camera System finished
VARUM - Vision Aided Robots for Underwater Minehunting finished
Dasher on-hold
Roony on-hold

[Show all publications]

IoT and Fog Analytics for Industrial Robot Applications (Sep 2020)
Anders Lager, Alessandro Papadopoulos, Thomas Nolte
The 25th International Conference on Emerging Technologies and Factory Automation (ETFA2020)

How control-friendly is a computing system? And how control-friendly could it be? (Jul 2020)
Alberto Leva , Silvano Seva , Federico Terraneo , Alessandro Papadopoulos, Martina Maggio
21st IFAC World Congress (IFAC2020)

The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training (Jul 2020)
Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström
Open Access Journal of Real-Time Image Processing (J RT Image Proc)

Multi-Path Planning for Autonomous Navigation of Multiple Robots in a Shared Workspace with Humans (Jun 2020)
LanAnh Trinh, Mikael Ekström, Baran Çürüklü
2020 6th International Conference on Control, Automation and Robotics (ICCAR)

Adaptive Autonomy in Wireless Sensor Networks (May 2020)
Mirgita Frasheri , Jose Cano-Garcia , Eva Gonzalez-Parada , Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos, Cristina Urdiales
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'20)

Trust in Self-aware Systems (Apr 2020)
Alessandro Papadopoulos, Lukas Esterle
Self-Awareness in Cyber-Physical Systems 2020 (SelPhyS2020)

Mikael Ekström, Professor

Email: mikael.ekstrom@mdh.se
Room: U1-125
Phone: +46-21-101671