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Soft Robotic Sim2Real via Conditional Flow Matching

Modeling soft robots remains a significant challenge due to high computational costs and frequent mismatches with real‐world behavior, a phenomenon known as the Sim2Real gap. This paper addresses the Sim2Real gap through conditional flow matching (CFM), which learns a mapping between the simulation...

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Principais autores: Ge Shi, Xing Wang, André Farinha, Joshua Pinskier, Xing Shen, Richard Scalzo, David Howard
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2026-03-01
Serier:Advanced Intelligent Systems
Fag:
conditional flow matching
data‐driven modeling
manipulation
sim2real
soft robotics
Online adgang:https://doi.org/10.1002/aisy.202500690
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