SCIoI Alumni

Mohsen Raoufi

Doctoral Researcher

Computer Science

HU Berlin

 

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Photo: SCIoI

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Mohsen Raoufi

Mohsen Raoufi

Photo: SCIoI

Mohsen obtained his Master’s degree in Dynamics and Control from Sharif University of Technology with a study on “State Estimation of Nonlinear Systems Using a Swarm-based Optimization Algorithm.” His primary research interests lie in dynamics and control, swarm robotics, optimization algorithms, and network dynamics. At SCIoI, he is involved in Project 27, titled “Speed-Accuracy Tradeoffs in Collective Estimation,” led by Pawel Romanczuk (Humboldt University of Berlin) and Heiko Hamann (University of Konstanz.) The main objective of this project is to gain insights into how modifications at the individual level affect both the accuracy and speed of collective estimation. Specifically, the project investigates the influence of factors such as the diversity of opinions, exploration-exploitation behaviors, and communication networks on the dynamics of the collective process.

Click here to see Mohsen’s final dissertation.

Projects

Mohsen Raoufi is member of:

• Project 27: Speed-accuracy tradeoffs in collective estimation
2756394 Raoufi 1 apa 50 date desc year 19992 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Raoufi, M., Romanczuk, P., & Hamann, H. (2025). LARS: A Light-Augmented Reality System for Collective Robotic Interaction. Sensors, 25(17). https://doi.org/10.3390/s25175412
Raoufi, M., Hamann, H., & Romanczuk, P. (2024). Breaking Echo-chambers in Opinion Dynamics with Spatial Information. Artificial Life (ALife) 2024 Conference.
Raoufi, M., Hamann, H., & Romanczuk, P. (2024). LARS: Light Augmented Reality System for Swarm. ANTS 2024 Conference.
Raoufi, M., Hamann, H., & Romanczuk, P. (2024). Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily [Preprint]. arxiv. https://doi.org/10.48550/arXiv.2406.06440
Mengers, V., Raoufi, M., Brock, O., Hamann, H., & Romanczuk, P. (2024). Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity. Scientific Reports, 14(1), 27314. https://doi.org/10.1038/s41598-024-78856-8
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Inter-individual Variations in Swarm Robotics with the Case Study of Kilobots [Conference/Workshop poster]. ICRA 2023/workshop “Heterogeneity in Multi-Robot Systems.” https://raaslab.org/icra2023-hmrs/#contr
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature? Artificial Life (ALife) 2023. https://doi.org/10.1162/isal_a_00623
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Estimation of continuous environments by robot swarms: Correlated networks and decision-making. ICRA 2023. https://doi.org/10.1109/icra48891.2023.10161354
Amjadi, A. S., Raoufi, M., & Turgut, A. E. (2021). A self-adaptive landmark-based aggregation method for robot swarms. Adaptive Behavior, 30(3), 223–236. https://doi.org/10.1177/1059712320985543
Raoufi, M., Hamann, H., & Romanczuk, P. (2021). Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case. IEEE 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). https://doi.org/10.1109/MRS50823.2021.9620695

Best Workshop Poster Award (ICRA 2024)

Teaching Grant from Berlin Senate Fund (2024)

SCIoI Research Grant (2023)

Research

An overview of our scientific work

See our Research Projects