A conditional denoising diffusion model learns the inverse tactile observation model of an artificial skin, and in simulation it generates object pose hypotheses that improve particle filter convergence.
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Diffusion-based Inverse Observation Model for Artificial Skin
A conditional denoising diffusion model learns the inverse tactile observation model of an artificial skin, and in simulation it generates object pose hypotheses that improve particle filter convergence.