Bartosz Poskart
Papers
4
Total Citations
35
H-Index
3
About
Bartosz Poskart is a researcher at the forefront of intelligent industrial robotics, specializing in battery management systems for autonomous mobile robots (AMRs) and collaborative manufacturing automation. His most influential work, "Predictive Monitoring System for Autonomous Mobile Robots Battery Management Using the Industrial Internet of Things Technology" (19 citations), introduces a novel approach to analyzing lithium NMC battery discharge characteristics, enabling AMRs to predict future states based on mission queues. This breakthrough allows for smarter, data-driven mission planning, as further developed in his multi-parameter predictive model (11 citations), which addresses the limitations of conventional state-of-charge algorithms for multi-robot fleets. Poskart’s contributions extend to practical integration, demonstrated in his work on collaborative robot UR10 integration with CNC lathes (4 citations), showcasing his ability to bridge theory and real-world manufacturing. His recent application of graph theory to robotic production cell communication (2024) highlights his ongoing commitment to optimizing industrial systems. With a growing citation impact, Poskart’s research is essential reading for engineers and researchers advancing autonomous robotics and smart manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Collaborative robot UR10 integration with CNC lathe Haas ST104 citations · 2022
- 4