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About

Grzegorz Iskierka is a researcher advancing the intersection of autonomous robotics, industrial IoT, and intelligent manufacturing systems. His primary research areas include battery management for mobile robots, predictive monitoring, and robotic production cell integration. Iskierka’s most significant contribution is the development of a predictive monitoring system for autonomous mobile robot battery management using Industrial Internet of Things technology, which analyzes lithium NMC battery discharge characteristics to forecast future states based on mission queues. This work, published in 2022, has garnered 19 citations and demonstrates practical applications for optimizing multi-robot system operations. He further extended this research with a multi-parameter predictive model for battery discharge in intelligent mission planning, earning 11 citations. Iskierka has also contributed to collaborative robotics, notably integrating a UR10 robot with a Haas ST10 CNC lathe for automated shaft machining, showcasing his expertise in cyber-physical system integration. His recent work applies graph theory to communication system design in robotic production cells. With a growing citation record and focus on real-world industrial automation challenges, Iskierka’s research is shaping smarter, more efficient autonomous systems for manufacturing environments.