Marcell Golarits

Institute for Computer Science and Control

Papers

Total Citations

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About

Marcell Golarits is a robotics researcher whose work focuses on advancing Simultaneous Localization and Mapping (SLAM) systems, particularly in dynamic environments. His key contributions lie in developing methods to detect and localize map changes by exploiting SLAM residuals—a novel approach that enhances the robustness of autonomous navigation in real-world settings. His most-cited paper, "Localization of Map Changes by Exploiting SLAM Residuals" (2020), introduces a framework for identifying discrepancies between a pre-built map and live sensor data, enabling robots to adapt to environmental modifications without full remapping. This work has garnered 3 citations, reflecting its early impact in the field. Golarits’ research is significant for applications in long-term autonomy, where robots must operate reliably in changing environments, such as warehouses or urban spaces. His achievements include contributing to the development of more resilient SLAM algorithms, which are critical for the next generation of autonomous vehicles and service robots. Through his focus on practical, real-time solutions, Golarits is helping to bridge the gap between theoretical SLAM research and deployable robotic systems.