Jani Jokinen

Tampere University, Tampere University of Applied Sciences

Papers

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About

Jani Jokinen is a researcher whose work sits at the intersection of factory automation, energy efficiency, and industrial data science. His key research areas include retrofitting legacy automation systems, energy-aware manufacturing, and the use of open datasets to bridge the gap between signal processing engineers and shop-floor practitioners. His most notable contribution is a 2012 paper (21 citations) that details the step-by-step retrofitting of a multi-robot factory automation testbed to enhance flexibility, reconfigurability, and awareness of energy-, safety-, and quality-relevant parameters. This work demonstrates how existing industrial systems can be adapted to meet evolving market needs and societal pressures without complete replacement—a practical, cost-effective approach with high relevance for sustainable manufacturing. Jokinen also contributed to the creation of an open energy-consumption-relevant factory automation dataset in the cloud, a resource designed to enable optimization algorithms for energy savings by fostering collaboration between data scientists and manufacturing engineers. Though early in citation impact, this dataset represents a foundational step toward data-driven industrial sustainability. Jokinen’s work is especially valuable for researchers and engineers seeking actionable, real-world strategies for modernizing factory automation systems.