2 code implementations • 18 Mar 2024 • Bernardo Fichera, Aude Billard
By learning the manifold's Euclidean embedded representation, our approach encodes the non-linearity of the DS within the curvature of the space.
no code implementations • 29 Nov 2023 • Noémie Jaquier, Michael C. Welle, Andrej Gams, Kunpeng Yao, Bernardo Fichera, Aude Billard, Aleš Ude, Tamim Asfour, Danica Kragic
Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents.
1 code implementation • NeurIPS 2023 • Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard
Gaussian process regression is widely used because of its ability to provide well-calibrated uncertainty estimates and handle small or sparse datasets.
1 code implementation • 3 Aug 2022 • Diego Paez-Granados, Yujie He, David Gonon, Dan Jia, Bastian Leibe, Kenji Suzuki, Aude Billard
Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured situations.
no code implementations • 18 Feb 2022 • Bernardo Fichera, Aude Billard
We study the eigenvectors and eigenvalues of the Graph Laplacian and show that they form a set of orthogonal embedding spaces, one for each sub-dynamics.
2 code implementations • 27 Oct 2017 • Nadia Figueroa, Aude Billard
Resulting in a topic-modeling inspired hierarchical model for unsupervised time-series data analysis which we call ICSC-HMM (IBP Coupled SPCM-CRP Hidden Markov Model).
no code implementations • 29 Apr 2015 • Manuel Wüthrich, Peter Pastor, Ludovic Righetti, Aude Billard, Stefan Schaal
In this paper, we derive a probabilistic registration algorithm for object modeling and tracking.
no code implementations • NeurIPS 2012 • Ashwini Shukla, Aude Billard
These new SV ensure that the resulting multi-stable DS incurs minimum deviation from the original dynamics and is stable at each of the attractors within a finite region of attraction.