Welkom...

dr. M. Poel (Mannes)

Universitair hoofddocent

Expertises

Engineering & Materials Science
Brain Computer Interface
Machine Learning
Mobile Robots
Navigation
Reinforcement Learning
Robots
Medicine & Life Sciences
Deep Learning
Machine Learning

Publicaties

Recent
Schulte, R. V. (2022). Up to one's knees in data: Data-driven intent recognition using electromyography for the lower limb. [PhD Thesis - Research external, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554862
Verma, D., Jansen, D., Bach, K. , Poel, M., Mork, P. J. , & d'Hollosy, W. (2022). Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC medical informatics and decision making, 22, Article 227. Advance online publication. https://doi.org/10.1186/s12911-022-01973-9
Botteghi, N., Grefte, L. , Poel, M. , Sirmacek, B. , Brune, C. , Dertien, E. , & Stramigioli, S. (2022). Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. In J. Kim, B. Englot, H-W. Park, H-L. Choi, H. Myung, J. Kim, & J-H. Kim (Eds.), Robot Intelligence Technology and Applications 6 - Results from the 9th International Conference on Robot Intelligence Technology and Applications (pp. 259-271). (Lecture Notes in Networks and Systems; Vol. 429 LNNS). Springer. https://doi.org/10.1007/978-3-030-97672-9_23
Botteghi, N. , Sirmacek, B. , Poel, M. , Brune, C., & Schulte, R. (2021). CURIOSITY-DRIVEN REINFORCEMENT LEARNING AGENT for MAPPING UNKNOWN INDOOR ENVIRONMENTS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5(1), 129-136. https://doi.org/10.5194/isprs-annals-V-1-2021-129-2021
Botteghi, N., Alaa, K. , Poel, M. , Sirma├žek, B. , Brune, C., Mersha, A. , & Stramigioli, S. (2021). Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 (pp. 190-197). (IEEE International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.1109/IROS51168.2021.9635936

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Verbonden aan Opleidingen

Master

Vakken Collegejaar  2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Vakken Collegejaar  2022/2023

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 4102
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4102
Postbus 217
7500 AE Enschede