Max Robotics — Global Service Robot Directory + US Certification

About

Marco Tassemeier is a researcher at the forefront of embedded robotics and reconfigurable computing, specializing in the integration of FPGA-based hardware acceleration with the Robot Operating System (ROS). His work addresses critical challenges in autonomous navigation, particularly the energy-efficient implementation of Simultaneous Localization and Mapping (SLAM) algorithms on resource-constrained platforms. Tassemeier’s most significant contribution is the development of ReconfROS, a pioneering framework that enables ROS nodes to run seamlessly on reconfigurable System-on-Chips (SoCs), bridging the gap between software flexibility and hardware performance. This work, cited 16 times, has opened new avenues for deploying complex algorithms in real-time robotic systems. He further advanced the field with his energy-efficient FPGA-accelerated LiDAR-based SLAM (11 citations) and the fully integrated HATSDF SLAM system (10 citations), which leverages Truncated Signed Distance Fields for robust 3D mapping. Tassemeier’s research demonstrates a clear path toward low-power, high-performance autonomous robotics, making him a key figure in the evolution of hardware-software co-design for embedded systems.