Andrzej Sioma

Papers

Total Citations

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About

Andrzej Sioma’s research focuses on industrial automation, robotic navigation, and spatial perception, with particular emphasis on 3D vision systems and sensor-based workspace control. His most cited work, “Automatization of workspace control based on ToF technology” (2018, 8 citations), demonstrates a practical application of Time-of-Flight sensors for real-time obstacle detection and localization in robotic workcells and production lines—a contribution that directly addresses safety and efficiency challenges in modern manufacturing. Earlier studies, such as “Finding Bearing in Robot Navigation with the Use of the Kalman Filter” (2013, 2 citations) and “The Use of Vision Systems for Building Terrain Maps for Mobile Robots” (2011, 2 citations), explore foundational methods for mobile robot orientation estimation and environment mapping, integrating Kalman filtering and vision-based terrain reconstruction. While his citation counts are modest, Sioma’s work represents a hands-on engineering approach to bridging sensor technology and autonomous systems, offering practical frameworks for implementing 3D spatial awareness in industrial robotics. His research is particularly valuable for students and engineers seeking to understand how low-cost, commercially available sensors can be adapted for robust automation tasks, from collision avoidance to navigation in unstructured environments.