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20172026
most citedPath Integral Networks: End-to-End Differentiable Optimal Control

39 citations · 133 across the 15 of their papers we have counts for

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cs.RO2024

A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation

Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi

In this paper, a novel approach is proposed for learning robot control in contact-rich tasks such as wiping, by developing Diffusion Contact Model (DCM). Previous methods of learni…