Jeremy P. Binagia

Papers

Total Citations

H-Index

About

Jeremy P. Binagia is a researcher at the intersection of fluid dynamics, soft matter, and robotics, whose work explores how complex fluids can enable novel modes of locomotion and inform intelligent robotic systems. His primary contributions lie in understanding viscoelastic fluid mechanics and applying those insights to create self-propelled microswimmers and automated simulation pipelines. Binagia’s most cited work, "A freely suspended robotic swimmer propelled by viscoelastic normal stresses" (2022, 21 citations), experimentally demonstrates a force- and torque-free robot that, unlike in Newtonian fluids, swims purely by exploiting fluid elasticity—a direct challenge to the scallop theorem. This breakthrough, extended in his 2021 paper, establishes a "swimming rheometer" concept, where the swimmer’s motion itself probes fluid properties. More recently, his 2025 paper "Scalable Real2Sim" (6 citations) introduces a fully automated pipeline for generating physics-accurate simulation assets from real-world robotic pick-and-place setups, bridging perception and simulation for digital twins. Binagia’s work is notable for its elegant fusion of fundamental non-Newtonian physics with tangible robotic applications, offering both theoretical depth and practical scalability. His research has significant implications for micro-robotics, biomedical devices, and automated manufacturing, making him a rising voice in soft matter robotics.