Prateek Saxena

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About

Prateek Saxena is a researcher at the forefront of additive manufacturing and soft robotics, known for integrating decision-making frameworks into engineering design. His work centers on the intersection of manufacturing process selection and emerging robotic applications, with a particular focus on how computational methods can optimize material and process choices for flexible, bio-inspired systems. His most-cited paper, "Selection of a suitable additive manufacturing process for soft robotics application using three-way decision-making" (2024), has already garnered 12 citations, reflecting its timely relevance and practical utility. This contribution stands out for introducing a structured, three-way decision-making model that helps engineers navigate the complex trade-offs in additive manufacturing—balancing factors like material compliance, cost, and scalability—specifically for soft robotics, a field demanding high adaptability. Saxena’s work is notable for bridging theoretical decision science with hands-on manufacturing challenges, offering a replicable framework that has been quickly adopted by peers. His research not only advances the precision of process selection but also supports the broader goal of making soft robotics more accessible and manufacturable, marking him as a rising voice in this interdisciplinary domain.