Research topics

Robot Grasping for Bin Picking

Sim-To-Real Transfer Learning

Active Learning

Projects

Background

since 2021

Institute for Material Handling and Logistics (IFL)
Research Assistant

Lectures

Thesis topics

Click here for a list of currently available topics.

Publications

vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Shi, Y.; Welte, E.; Gilles, M.; Rayyes, R.
2024. arxiv. doi:10.48550/arXiv.2411.03591

MetaMVUC: Active Learning for Sample-Efficient Sim-to-Real Domain Adaptation in Robotic Grasping
Gilles, M.; Furmans, K.; Rayyes, R.
2025. IEEE Robotics and Automation Letters, 10 (4), 3644–3651. doi:10.1109/LRA.2025.3544083

Rethinking Resource Competition in Multi-Task Learning: from Shared Parameters to Shared Representation
Mao, D.; Chen, Y.; Wu, Y.; Gilles, M.; Wong, A.
2024. IEEE Access, 12, 128717–128728. doi:10.1109/ACCESS.2024.3429281

MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping
Gilles, M.; Chen, Y.; Zeng, E. Z.; Wu, Y.; Furmans, K.; Wong, A.; Rayyes, R.
2024. IEEE Transactions on Automation Science and Engineering, 21 (3), 2302–2320. doi:10.1109/TASE.2023.3328964

Continual Learning of Vacuum Grasps from Grasp Outcome for Unsupervised Domain Adaption
Gilles, M.; Rau, V.
2022. 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI), 164–171, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RAAI56146.2022.10092970

Structure SLAM with points, planes and objects
Zhou, B.; Gilles, M.; Meng, Y.
2022. Advanced Robotics, 36 (20), 1060–1075. doi:10.1080/01691864.2022.2123253

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Gilles, M.; Chen, Y.; Winter, T. R.; Zhixuan Zeng, E.; Wong, A.
2022. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 220–227, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE49997.2022.9926427

Unsupervised deep learning based ego motion estimation with a downward facing camera
Gilles, M.; Ibrahimpasic, S.
2023. Visual Computer, 39, 785–798. doi:10.1007/s00371-021-02345-6

PiRo : Ein autonomes Kommissioniersystem für inhomogene, chaotische Lager = PiRo : An autonomous picking system for inhomogeneous, chaotic storages
Colling, D.; Dziedzitz, J.; Hopfgarten, P.; Markert, K.; Neubehler, K.; Eberle, F.; Gilles, M.; Jung, M.; Kocabas, A.; Furmans, K.
2017. Logistics journal / Proceedings, 2017. doi:10.2195/lj_Proc_colling_de_201710_01