Martin Kajan

Central Statistical Office, Slovak University of Technology in Bratislava

Papers

Total Citations

880

H-Index

About

Martin Kajan is a leading researcher in mobile robotics, with a primary focus on path planning, sensor integration, and 3D mapping for autonomous systems. His most influential work, "Path Planning with Modified a Star Algorithm for a Mobile Robot" (2014), has garnered over 855 citations, establishing a foundational approach for efficient grid-based navigation. Kajan’s research addresses critical challenges in robotics, including the development of reliable reactive navigation and SLAM (Simultaneous Localization and Mapping) systems. He has also made significant contributions to industrial automation, notably through his work on the sensoric subsystem of automated guided vehicles, where he pioneered TCP communication between SIMATIC S7 PLCs and Arduino microcontrollers—a cost-effective solution for factory transport. Additionally, Kajan explored 3D map reconstruction using the Kinect sensor, focusing on algorithms suitable for small mobile robots and advancing the field of 3D SLAM. His work is widely cited by researchers in robotics and automation, reflecting its practical impact on both academic study and industrial application. Kajan’s achievements demonstrate a commitment to bridging theoretical algorithms with real-world robotic systems.