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Anas Gouda, M.Sc.
Wissenschaftlicher Mitarbeiter
Tel: +49 231 755-2545
Fax: +49 231 755-4768
E-Mail senden
Lehrstuhl für Förder- und Lagerwesen, FLW
TU Dortmund, LogistikCampus
Joseph-v.-Fraunhofer-Str. 2-4
44227 Dortmund, Germany
Raum A 4.07
Zur Person
- 2019 – 2020 wissenschaftliche Hilfskraft am Lehrstuhl für Förder- und Lagerwesen (FLW)
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2020 M.Sc. Automation and Robotics, Technische Universität Dortmund
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2016 B.Sc. Electrical Engineering, HTI – Ägypten
Arbeitsgebiete
- Robotic grasping (Robotisches Greifen)
- WSN – Wireless Sensor Network (Drahtloses Sensornetzwerk)
Projekte
Veröffentlichungen
- Gouda, Anas; Roidl, Moritz
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping
In: RSS 2023 Workshop on Perception and Manipulation Challenges for Warehouse Automation
Arxiv: https://arxiv.org/abs/2304.02833
DOI: doi.org/10.48550/arXiv.2304.02833 - Gouda, Anas; Heinrich, Danny; Hünnefeld, Mirco; Priyanta, Irfan Fachrudin; Reining, Christopher; Roidl, Moritz
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning
In: IEEE International Instrumentation and Measurement Technology Conference (2023)
DOI: doi.org/10.48550/ARXIV.2212.04721 - Gouda, Anas; Nedungadi, Ashwin; Ghatpande, Anay; Reining, Christopher; Youssef, Hazem; Roidl, Moritz.
DoPose: dataset for object segmentation and 6D pose estimation
In: Zenodo 2022. [Dataset]
DOI: doi.org/10.5281/zenodo.6103779 - Rutinowski, Jérôme; Reining, Christopher; Gouda, Anas; Youssef, Hazem
The Potential of Deep Learning Based Computer Vision in Warehousing Logistics.
Logistics Journal, 2022
DOI: https://doi.org/10.2195/lj_proc_rutinowski_en_202211_01. - Gouda, Anas; Ghanem, Abraham; Kaiser, Pascal and ten Hompel, Michael
Object class-agnostic segmentation for practical CNN utilization in industry
2021 6th International Conference on Mechanical Engineering and Robotics Research (ICMERR), 2021, pp. 97-105
DOI: 10.1109/ICMERR54363.2021.9680821 - Ramachandran Venkatapathy, Aswin Karthik; Gouda, Anas; ten Hompel, Michael and Paradiso, Joseph (2021)
Decentralized Brains: A Reference Implementation with Performance Evaluation.
In: Peñalver L., Parra L. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2020. First Online:
Conference paper. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 365. Springer, Cham.
DOI: 10.1007/978-3-030-71061-3_