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20212026
most citedSim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuation

46 citations · 51 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Swim2Real: VLM-Guided System Identification for Sim-to-Real Transfer

Kevin Qiu, Kyle Walker, Mike Y. Michelis +2

We present Swim2Real, a pipeline that calibrates a 16-parameter robotic fish simulator from swimming videos using vision-language model (VLM) feedback, requiring no hand-designed s…

cs.RO2026

A Unified Low-Dimensional Design Embedding for Joint Optimization of Shape, Material, and Actuation in Soft Robots

Vittorio Candiello, Manuel Mekkattu, Mike Y. Michelis +1

Soft robots achieve functionality through tight coupling among geometry, material composition, and actuation. As a result, effective design optimization requires these three aspect…

cs.RO2026

Simple Models, Real Swimming: Digital Twins for Tendon-Driven Underwater Robots

Mike Y. Michelis, Nana Obayashi, Josie Hughes +1

Mimicking the graceful motion of swimming animals remains a core challenge in soft robotics due to the complexity of fluid-structure interaction and the difficulty of controlling s…

cs.RO2025

SORS: A Modular, High-Fidelity Simulator for Soft Robots

Manuel Mekkattu, Mike Y. Michelis, Robert K. Katzschmann

The deployment of complex soft robots in multiphysics environments requires advanced simulation frameworks that not only capture interactions between different types of material, b…

cs.RO202246 cited

Sim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuation

Mathieu Dubied, Mike Michelis, Andrew Spielberg +1

An accurate, physically-based, and differentiable model of soft robots can unlock downstream applications in optimal control. The Finite Element Method (FEM) is an expressive appro…