CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

MPLog: A Multimodal Panoptic Dataset for Intralogistics

P. Hao, M. Gilles, D. Schüthe, S. Dierfeld, K. Furmans, "MPLog: A Multimodal Panoptic Dataset for Intralogistics ," Under Review, 2026.

vMF-Contact: Uncertainty-Aware Evidential Learning for Probabilistic Contact-Grasp in Noisy Clutter

Y. Shi, E. Welte, M. Gilles and R. Rayyes, "vMF-Contact: Uncertainty-Aware Evidential Learning for Probabilistic Contact-Grasp in Noisy Clutter," 2025 IEEE International Conference on Robotics and Automation (ICRA), May 2025, pp. 11668-11674, doi: 10.1109/ICRA55743.2025.11127888.

MetaMVUC: Active Learning for Sample-Efficient Sim-to-Real Domain Adaptation in Robotic Grasping

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

MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping

M. Gilles et al., "MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping," IEEE Transactions on Automation Science and Engineering (T-ASE), 21(3), pp. 2302-2320, July 2024, doi: 10.1109/TASE.2023.3328964.

MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy

Y. Chen, H. Gunraj, E. Z. Zeng, R. Meyer, M. Gilles, A. Wong, "MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy ," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2023, pp. 68-77.

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis

M. Gilles, Y. Chen, T. Robin Winter, E. Zhixuan Zeng and A. Wong, "MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis," 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico-City, Mexico, August 2022, pp. 220-227, doi: 10.1109/CASE49997.2022.9926427.

Talks

From Zero-Shot to Active Domain Adaptation: Reliable and Cost-Effective Robot Grasping in Intralogistics

March 27, 2025

Impulse Talk at Fachgruppentreffen "KI in der Intralogistik" (Intralogistik Netzwerk BW), Stuttgart, Germany

Enhancing Efficiency of Robot Picking Using Sim-To-Application Transfer and Interest-Driven Domain Adaption

September 14, 2023

Contributed Talk at 6th Workshop on Intrinsically Motivated Open-Ended Learning (IMOL), Paris, France

Teaching

Seamless Engineering – Logistics Robotics Workshop (2021-2024)

Service and leadership

• Currently signed in to 43 different slack teams