most citedCross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2023★ 3 cited

Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework

Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding +4

Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of data are…