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Journal Articles

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2023
[j9]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos:
Optimizing Parallel Task Execution for Multi-Agent Mission Planning. IEEE Access 11: 24367-24381 (2023)
2022
[j8]
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Lan Anh Trinh, Mikael Ekström, Baran Çürüklü:
Dependable Navigation for Multiple Autonomous Robots with Petri Nets Based Congestion Control and Dynamic Obstacle Avoidance. J. Intell. Robotic Syst. 104(4): 69 (2022)
[j7]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos:
GMP: A Genetic Mission Planner for Heterogeneous Multirobot System Applications. IEEE Trans. Cybern. 52(10): 10627-10638 (2022)
2021
[j6]
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Carl Ahlberg, Miguel Leon, Fredrik Ekstrand, Mikael Ekström:
The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training. J. Real Time Image Process. 18(3): 539-559 (2021)
2018
[j5]
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Lan Anh Trinh, Mikael Ekström, Baran Çürüklü:
Toward Shared Working Space of Human and Robotic Agents Through Dipole Flow Field for Dependable Path Planning. Frontiers Neurorobotics 12: 28 (2018)
[j4]
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Mirgita Frasheri, Baran Çürüklü, Mikael Ekström:
Analysis of Perceived Helpfulness in Adaptive Autonomous Agent Populations. Trans. Comput. Collect. Intell. 28: 221-252 (2018)
2016
[j3]
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Jonas Ljungblad, Bertil Hök, Mikael Ekström:
Development and Evaluation of Algorithms for Breath Alcohol Screening. Sensors 16(4): 469 (2016)
2012
[j2]
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Martin C. Ekström, Marcus Bergblomma, Maria Lindén, Mats Björkman, Mikael Ekström:
A Bluetooth Radio Energy Consumption Model for Low-Duty-Cycle Applications. IEEE Trans. Instrum. Meas. 61(3): 609-617 (2012)
2010
[j1]
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Annika Kaisdotter Andersson, Bertil Hök, Daniel Rentsch, Gernot Ruecker, Mikael Ekström:
Improved breath alcohol analysis in patients with depressed consciousness. Medical Biol. Eng. Comput. 48(11): 1099-1105 (2010)

Conference and Workshop Papers

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2024
[c35]
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Lukas Johannes Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen:
UPPAAL-Based Modeling and Verification of ROS 2 Multi-threaded Execution and Operating System Reservations. FMICS 2024: 40-59
[c34]
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  - conf/rose-ws/DustEGMS24
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Lukas Johannes Dust, Mikael Ekström, Rong Gu, Saad Mubeen, Cristina Seceleanu:
A Model-Based Methodology for Automated Verification of ROS 2 Systems. RoSE 2024: 35-42
2023
[c33]
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Lukas Johannes Dust, Emil Persson, Mikael Ekström, Saad Mubeen, Cristina Seceleanu, Rong Gu:
Experimental Evaluation of Callback Behavior in ROS 2 Executors. ETFA 2023: 1-8
[c32]
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Lukas Johannes Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen:
Pattern-Based Verification of ROS 2 Nodes Using UPPAAL. FMICS 2023: 57-75
[c31]
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Afshin Ameri Ekhtiarabadi, Branko Miloradovic, Baran Çürüklü, Alessandro V. Papadopoulos, Mikael Ekström, Johann Dréo:
Interplay of Human and AI Solvers on a Planning Problem. SMC 2023: 3166-3173
2022
[c30]
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  - conf/dsd/GhaderiAOEE22
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Adnan Ghaderi, Carl Ahlberg, Magnus Östgren, Fredrik Ekstrand, Mikael Ekström:
FP-SLIC: A Fully-Pipelined FPGA Implementation of Superpixel Image Segmentation. DSD 2022: 109-117
[c29]
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  - conf/elinfocom/ValievaSBAEV22
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Inna Valieva, Bharath Shashidhar, Mats Björkman, Johan Åkerberg, Mikael Ekström, Iurii Voitenko:
Blind Vacant Frequency Channels Detection for Cognitive Radio. ICEIC 2022: 1-6
[c28]
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Lukas Johannes Dust, Emil Persson, Mikael Ekström, Saad Mubeen, Emmanuel Dean:
Quantitative analysis of communication handling for centralized multi-agent robot systems using ROS2. INDIN 2022: 624-629
[c27]
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Inna Valieva, Bharath Shashidhar, Mats Björkman, Johan Åkerberg, Mikael Ekström, Iurii Voitenko:
Machine Learning-Based Frequency Bands Classification for Efficient Frequency Hopping Spread Spectrum Applications. MILCOM 2022: 72-77
2021
[c26]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro V. Papadopoulos:
Exploiting Parallelism in Multi-Task Robot Allocation Problems. ICARSC 2021: 197-202
[c25]
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Niklas Persson, Martin C. Ekström, Mikael Ekström, Alessandro V. Papadopoulos:
Trajectory tracking and stabilisation of a riderless bicycle. ITSC 2021: 1859-1866
2020
[c24]
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  - conf/atal/FrasheriCGCEPU20
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Mirgita Frasheri, José Manuel Cano-García, Eva González-Parada, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos, Cristina Urdiales:
Adaptive Autonomy in Wireless Sensor Networks. AAMAS 2020: 375-383
[c23]
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  - conf/etfa/HannaBGE20
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Atieh Hanna, Kristofer Bengtsson, Per-Lage Götvall, Mikael Ekström:
Towards safe human robot collaboration - Risk assessment of intelligent automation. ETFA 2020: 424-431
2019
[c22]
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  - conf/codit/TrinhEC19
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Lan Anh Trinh, Mikael Ekström, Baran Çürüklü:
Petri Net Based Navigation Planning with Dipole Field and Dynamic Window Approach for Collision Avoidance. CoDIT 2019: 1013-1018
[c21]
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Atieh Hanna, Kristofer Bengtsson, Martin Dahl, Endre Erós, Per-Lage Götvall, Mikael Ekström:
Industrial Challenges when Planning and Preparing Collaborative and Intelligent Automation Systems for Final Assembly Stations. ETFA 2019: 400-406
[c20]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro V. Papadopoulos:
A Genetic Algorithm Approach to Multi-Agent Mission Planning Problems. ICORES (Selected Papers) 2019: 109-134
[c19]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos:
Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems. ICORES 2019: 237-244
[c18]
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Inna Valieva, Mats Björkman, Johan Åkerberg, Mikael Ekström, Iurii Voitenko:
Multiple Machine Learning Algorithms Comparison for Modulation Type Classification for Efficient Cognitive Radio. MILCOM 2019: 318-323
[c17]
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Branko Miloradovic, Mirgita Frasheri, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos:
TAMER: Task Allocation in Multi-robot Systems Through an Entity-Relationship Model. PRIMA 2019: 478-486
[c16]
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Carl Ahlberg, Miguel León Ortiz, Fredrik Ekstrand, Mikael Ekström:
Unbounded Sparse Census Transform Using Genetic Algorithm. WACV 2019: 1616-1625
2018
[c15]
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  - conf/icaart/FrasheriCE18
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Mirgita Frasheri, Baran Çürüklü, Mikael Ekström:
Comparison Between Static and Dynamic Willingness to Interact in Adaptive Autonomous Agents. ICAART (1) 2018: 258-267
2017
[c14]
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  - conf/fedcsis/FrasheriTCE17
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Mirgita Frasheri, Lan Anh Trinh, Baran Çürüklü, Mikael Ekström:
Failure Analysis for Adaptive Autonomous Agents using Petri Nets. FedCSIS 2017: 293-297
[c13]
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Mirgita Frasheri, Baran Çürüklü, Mikael Ekström:
Towards Collaborative Adaptive Autonomous Agents. ICAART (1) 2017: 78-87
[c12]
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Lan Anh Trinh, Baran Çürüklü, Mikael Ekström:
Fault Tolerance Analysis for Dependable Autonomous Agents using Colored Time Petri Nets. ICAART (1) 2017: 228-235
[c11]
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  - conf/swarm/MiloradovicCE17
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström:
A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks. ICSI (2) 2017: 481-493
2016
[c10]
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Branko Miloradovic, Baran Çürüklü, Mikael Ekström:
A genetic planner for mission planning of cooperative agents in an underwater environment. SSCI 2016: 1-8
2015
[c9]
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  - conf/reconfig/AhlbergEESA15
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Carl Ahlberg, Fredrik Ekstrand, Mikael Ekström, Giacomo Spampinato, Lars Asplund:
GIMME2 - an embedded system for stereo vision and processing of megapixel images with FPGA-acceleration. ReConFig 2015: 1-8
2014
[c8]
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  - conf/icmv/EkstrandAES14
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Fredrik Ekstrand, Carl Ahlberg, Mikael Ekström, Giacomo Spampinato:
High-speed segmentation-driven high-resolution matching. ICMV 2014: 94451Y
[c7]
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Jonas Ljungblad, Bertil Hök, Mikael Ekström:
Critical performance of a new breath alcohol analyzer for screening applications. ISSNIP 2014: 1-4
[c6]
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Fredrik Ekstrand, Carl Ahlberg, Mikael Ekström, Giacomo Spampinato:
Towards an Embedded Real-Time High Resolution Vision System. ISVC (2) 2014: 541-550
2012
[c5]
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Marcus Bergblomma, Martin C. Ekström, Mats Björkman, Mikael Ekström, Christer Gerdtman, Maria Lindén:
A wireless low latency control system for harsh environments. PDeS 2012: 17-22
[c4]
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Fredrik Ekstrand, Carl Ahlberg, Mikael Ekström, Lars Asplund, Giacomo Spampinato:
Utilization and Performance Considerations in Resource Optimized Stereo Matching for Real-time Reconfigurable Hardware. VISAPP (2) 2012: 415-418
2011
[c3]
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Fredrik Ekstrand, Carl Ahlberg, Mikael Ekström, Lars Asplund, Giacomo Spampinato:
Resource limited hardware-based stereo matching for high-speed vision system. ICARA 2011: 465-469
[c2]
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Giacomo Spampinato, Jörgen Lidholm, Carl Ahlberg, Fredrik Ekstrand, Mikael Ekström, Lars Asplund:
An embedded stereo vision module for 6D pose estimation and mapping. IROS 2011: 1626-1631
[c1]
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Carl Ahlberg, Jörgen Lidholm, Fredrik Ekstrand, Giacomo Spampinato, Mikael Ekström, Lars Asplund:
GIMME - A General Image Multiview Manipulation Engine. ReConFig 2011: 129-134

Informal and Other Publications

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2017
[i1]
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Lan Anh Trinh, Baran Çürüklü, Mikael Ekström:
Dependability for Autonomous Control with a Probability Approach. ERCIM News 2017(109) (2017)

Coauthor Index

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