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Benedikt Kreis

Ph.D. Student

	Contact
	Email :	kreis_at_cs.uni-bonn.de
	LinkedIn:	Benedikt Kreis
	Phone :	+49 (0) 228 73-54203
	Address:	Benedikt Kreis Rheinische Friedrich-Willhelms-Universität Bonn Institut für Informatik VI Friedrich-Hirzebruch-Allee 8 53115 Bonn Germany

About Me

I am a Ph.D. student at the Humanoid Robots Lab headed by Maren Bennewitz at the University of Bonn. I received my master's degree in Mechatronics from the University of Erlangen-Nuremberg in 2020.

CV

since 10.2021	Ph.D. Student Humanoid Robots Lab
04.2020 - 09.2021	IT Software Engineering Lead Siemens Logistics GmbH
10.2017 - 01.2020	Master in Mechatronics (M.Sc.) University of Erlangen-Nuremberg
04.2016 - 03.2020	Engineer Siemens Postal, Parcel & Airport Logistics GmbH
10.2012 - 03.2016	Bachelor in Mechatronics Trinational (B.Sc., B.Eng., Licence) Baden-Wuerttemberg Cooperative State University (DHBW) University of Applied Sciences and Arts Nortwestern Switzerland (FHNW) University of Upper Alsace (UHA) Unitec Institute of Technology (exchange semester)

Research Interests

Object manipulation (robotic arms and hands, motion planning)
Computer vision (object detection, pose estimation)
Machine learning (especially reinforcement learning)

Associated Research Project

EU-Project "Reconstructing the Past: Artificial Intelligence and Robotics Meet cultural Heritage"

Available Bachelor/Master Thesis Topics

Object manipulation of sensitive, archaeological fragments using an industrial robot arm
Object detection and pose estimation of archaeological fragments
Assembly order determination of 3D puzzles

Teaching

Lab Humanoid Robots (SS2022 - WS2023/24)
Seminar Humanoid Robots (SS2022 - WS2023/24)
Project Group Humanoid Robots (SS2022 - WS2023/24)

Publications

Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks. B. Kreis, R. Menon, B. K. Adinarayan, J. de Heuvel and M. Bennewitz. ArXiv preprint, accepted at the International Conference on Intelligent Autonomous Systems (IAS), 2023. Video available!
Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality. J. de Heuvel, N. Corral, B. Kreis, M. Bennewitz. Accepted for publication at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, ArXiv preprint. Video available!
Aerial Grasping and Transport Using an Unmanned Aircraft (UA) Equipped with an Industrial Suction Gripper. M. Lieret, B. Kreis, C. Hofmann, M. Zwingel and J. Franke. In: Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021.