Ruphan Swaminathan

Columbia University, National Institute of Technology Tiruchirappalli

Papers

Total Citations

124

H-Index

About

Ruphan Swaminathan is a rising leader in soft robotics, whose work bridges computational design, multiphysics simulation, and autonomous perception. His primary research areas include soft robot sensing, magnetically actuated origami robots, and pose estimation for flexible systems. Swaminathan’s most impactful contribution is the computational design of ultra-robust strain sensors for soft robot perception and autonomy, a 2024 paper with 89 citations that addresses the critical challenge of predictive sensor manufacturing and long-term robustness in deformable robots. This work enables more reliable autonomous behavior in soft systems. He also pioneered multiphysics simulation of magnetically actuated robotic origami worms (27 citations), opening new avenues for synthetic data generation and design optimization. Additionally, his ScoopNet pipeline for 6DOF pose estimation in origami-inspired worm robots (8 citations) tackles the underexplored problem of shape-invariant tracking. Through these contributions, Swaminathan is advancing the frontier of soft robotics by making these systems more predictable, durable, and perceptually capable—key steps toward real-world deployment in medicine, exploration, and beyond.