Towards Automated Order Picking Robots for Warehouses and Retail. - Richard Bormann; Bruno Ferreira de Brito; Jochen Lindermayr; Marco Omainska; Mayank Patel 001 (ICVS, 2019)

Real-time Instance Detection with Fast Incremental Learning. - Richard Bormann; Xinjie Wang; Markus Völk; Kilian Kleeberger; Jochen Lindermayr (ICRA, 2021)

Refilling Water Bottles in Elderly Care Homes With the Help of a Safe Service Robot. - Çagatay Odabasi; Florenz Graf; Jochen Lindermayr; Mayank Patel 001; Simon D. Baumgarten; Birgit Graf (HRI, 2022)

Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots. - Florenz Graf; Jochen Lindermayr; Çagatay Odabasi; Marco F. Huber (IEEE Robotics Autom. Mag., 2022)

SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates. - Jochen Lindermayr; Çagatay Odabasi; Markus Völk; Yitian Chen; Richard Bormann; Marco F. Huber (ICVS, 2023)

IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking. - Jochen Lindermayr; Çagatay Odabasi; Florian Jordan; Florenz Graf; Lukas Knak; Werner Kraus; Richard Bormann; Marco F. Huber (IROS, 2023)

Intelligent Pointer Unit to Speed Up the Shelf Replenishment Process in Retail Stores. - Florenz Graf; Felix Bazlen; Simon Degel; Jochen Lindermayr (LDIC, 2024)

HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots. - Florenz Graf; Jochen Lindermayr; Birgit Graf; Werner Kraus; Marco F. Huber (IEEE Trans. Robotics, 2024)