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Bernardo Fichera

2 accepted papers

2023

Implicit Manifold Gaussian Process Regression

NeurIPS 2023poster

Gaussian process regression is widely used because of its ability to provide well-calibrated uncertainty estimates and handle small or sparse datasets. However, it struggles with high-dimensional data. One possible way to scale this technique to higher dimensions is to leverage the implicit low-dime…

2020

Benchmark for Bimanual Robotic Manipulation of Semi-Deformable Objects

RA-L 2020

We propose a new benchmarking protocol to evaluate algorithms for bimanual robotic manipulation semi-deformable objects. The benchmark is inspired from two real-world applications: (a) watchmaking craftsmanship, and (b) belt assembly in automobile engines. We provide two setups that try to highlight

Cited by 35SourceScholar