Marc Rothmann
Papers
4
Total Citations
43
H-Index
4
About
Marc Rothmann is a leading researcher at the intersection of robotics, reconfigurable computing, and embedded systems. His work focuses on bridging the gap between the Robot Operating System (ROS) and FPGA-based hardware acceleration, enabling real-time, energy-efficient performance for autonomous robots. Rothmann’s major contributions include the development of **ReconfROS**, a pioneering framework that allows ROS nodes to be seamlessly offloaded onto reconfigurable System-on-Chips (SoCs), dramatically boosting computational efficiency without sacrificing ROS’s modularity. He also advanced SLAM (Simultaneous Localization and Mapping) with **HATSDF SLAM**, a fully integrated, hardware-accelerated system for LiDAR-based 3D mapping that achieves high accuracy while minimizing power consumption—critical for embedded robotics. With over 40 citations across his most-cited works, Rothmann’s research has been recognized for its practical impact on autonomous navigation and edge computing. His work is particularly notable for demonstrating that FPGA acceleration can be made accessible to the broader ROS community, paving the way for more capable, low-power robots in applications from autonomous vehicles to industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1ReconfROS: Running ROS on Reconfigurable SoCs16 citations · 2021
- 2Energy-efficient FPGA-accelerated LiDAR-based SLAM for embedded robotics11 citations · 2021
- 3
- 4ReconfROS: An approach for accelerating ROS nodes on reconfigurable SoCs6 citations · 2022