M. Karlmarx

Papers

Total Citations

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About

M. Karlmarx is a robotics researcher whose work centers on autonomous navigation and simulation environments for mobile robots. Their most-cited paper, "Path planning for car like mobile robot using robot operating system" (2018, 6 citations), introduces a novel approach to testing Car Like Mobile Robots (CLMRs) in static obstacle environments. Karlmarx pioneered the integration of the 3D open-source simulator GAZEBO with MATLAB, creating a hybrid simulation framework that allows for more realistic path planning experiments. Notably, they were among the first to design a complete mobile robot model within GAZEBO specifically for path planning studies, bridging the gap between theoretical algorithms and practical implementation. This contribution has provided a valuable tool for researchers and students working with the Robot Operating System (ROS), enabling more accessible testing of navigation strategies. While their citation count is modest, Karlmarx's work represents an important step in making complex robotic simulations more approachable, particularly for educational and early-stage research applications in autonomous vehicle navigation.