Energy-efficient FPGA-accelerated LiDAR-based SLAM for embedded robotics. - Marcel Flottmann; Marc Eisoldt; Julian Gaal; Marc Rothmann; Marco Tassemeier; Thomas Wiemann; Mario Porrmann (FPT, 2021)

ReconfROS: Running ROS on Reconfigurable SoCs. - Marc Eisoldt; Steffen Hinderink; Marco Tassemeier; Marcel Flottmann; Juri Vana; Thomas Wiemann; Julian Gaal; Marc Rothmann; Mario Porrmann (DroneSE/RAPIDO@HiPEAC, 2021)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (DATE, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (CoRR, 2022)

A fully integrated system for hardware-accelerated TSDF SLAM with LiDAR sensors (HATSDF SLAM). - Marc Eisoldt; Julian Gaal; Thomas Wiemann; Marcel Flottmann; Marc Rothmann; Marco Tassemeier; Mario Porrmann (Robotics Auton. Syst., 2022)

ReconfROS: An approach for accelerating ROS nodes on reconfigurable SoCs. - Marc Eisoldt; Marcel Flottmann; Julian Gaal; Steffen Hinderink; Juri Vana; Marco Tassemeier; Marc Rothmann; Thomas Wiemann; Mario Porrmann (Microprocess. Microsystems, 2022)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. - René Griessl; Florian Porrmann; Nils Kucza; Kevin Mika; Jens Hagemeyer; Martin Kaiser; Mario Porrmann; Marco Tassemeier; Marcel Flottmann; Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso; et al. (DATE, 2023)

ReDroSe - Reconfigurable Drone Setup for Resource-Efficient SLAM. - Sebastian Rahn; Philipp Gehricke; Can-Leon Petermöller; Eric Neumann; Philipp Schlinge; Leon Rabius; Henning Termühlen; Christopher Sieh; Marco Tassemeier; Thomas Wiemann; Mario Porrmann (DroneSE/RAPIDO@HiPEAC, 2023)