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About

Kamil Andrzejewski is a robotics and manufacturing automation researcher whose work focuses on optimising robotic systems for electronic component assembly, particularly exploring the application of six-axis articulated robots in surface mount technology — a domain traditionally dominated by highly dedicated, inflexible automation equipment. His research addresses a critical gap in modern manufacturing: the need for flexible production systems capable of handling low-to-medium volume builds without sacrificing efficiency. Andrzejewski's most significant contributions lie in developing intelligent optimisation strategies for robotic assembly processes. His pioneering work on sequencing and feeder slot assignment algorithms — including a novel discrete hybrid bat-inspired algorithm benchmarked against genetic algorithms and lead-through programming — tackles NP-hard combinatorial problems central to improving cycle times and assembly efficiency. His 2018 paper on robotic assembly optimisation, his most cited work with 19 citations, helped establish the feasibility of six-axis robots in electronic manufacturing contexts. Complementing this, his 2019 research into motion optimisation demonstrated measurable improvements in cycle time reduction and vibration mitigation. With over 40 cumulative citations across his key publications, Andrzejewski's work offers valuable practical and computational insights for researchers and engineers seeking smarter, more adaptable manufacturing solutions.