Sudhanshu Gangwar
Papers
2
Total Citations
18
H-Index
2
About
Sudhanshu Gangwar is a researcher at the forefront of soft robotics and additive manufacturing, specializing in the intersection of material science and decision-making frameworks. His work addresses critical challenges in fabricating flexible, bio-inspired robotic systems by systematically evaluating and optimizing manufacturing processes. Gangwar’s most influential paper, “Selection of a suitable additive manufacturing process for soft robotics application using three-way decision-making” (2024, 12 citations), introduces a novel three-way decision-making model that guides engineers in choosing the most appropriate 3D printing technique—such as material jetting or fused deposition modeling—for soft robotic components. This framework reduces trial-and-error in design, accelerating development cycles. His complementary study, “Quality analysis of material jetted silicone material for soft robotics application” (2023, 6 citations), provides empirical insights into the mechanical properties and print fidelity of silicone-based materials, establishing benchmarks for durability and flexibility. Together, these contributions bridge the gap between theoretical decision models and practical material characterization, offering a roadmap for scalable, reliable soft robot production. Gangwar’s work is pivotal for researchers and students exploring how additive manufacturing can unlock new capabilities in compliant, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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