In this paper, we present an approach to integrate reconfigurable SoCs into the well known Robot Operating System (ROS) called ReconfROS. Our method allows to implement hardware-accelerated algorithms on FPGAs and integrates them directly into the ROS ecosystem. This allows to combine the established and well tested ROS infrastructure together with low-power hardware acceleration. As a proof-of-concept for this novel integration, we ported an existing image-based path-following algorithm onto an FPGA and tested it on an unmanned ground vehicle (UGV). Evaluations utilizing the FPGA-accelerator directly synthesized from C-code show a three times performance improvement combined with a 15 times reduction of energy per frame. The approach can be easily ported to different hardware platforms based on Xilinx reconfigurable SoCs.