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)

FAQ: A Flexible Accelerator for Q-Learning with Configurable Environment. - Marc Rothmann; Mario Porrmann (ASAP, 2022)

A Survey of Domain-Specific Architectures for Reinforcement Learning. - Marc Rothmann; Mario Porrmann (IEEE Access, 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)

STANN - Synthesis Templates for Artificial Neural Network Inference and Training. - Marc Rothmann; Mario Porrmann (IWANN (1), 2023)

FPGA-based Acceleration of Deep Q-Networks with STANN-RL. - Marc Rothmann; Mario Porrmann (FMEC, 2024)

FPGA Acceleration of DL-Based Real-Time DC Series Arc Fault Detection. - Yufei Mao; Roland Weiss; Yi Zhang; Yu Li; Marc Rothmann; Mario Porrmann (IPDPS (Workshops), 2024)