SunannnSun

normalizing-flows

PyTorch implementation of normalizing flow models

Elastic-DS

[CoRL2023] Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

smerf-3d.github.io

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

clfd

Code for the paper Continual Learning from Demonstration of Robotic Skills

ros_pybullet_interface

ROS-PyBullet Interface.

ds_opt_ood

phys-gmm

Physically-consistent GMM fitting approach proposed by Figueroa, N. and Billard, A. (2018) "A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning". In Proceedings of the 2nd Conference on Robot Learning (CoRL).

ds-opt

Toolbox including several techniques for estimation of Globally Asymptotically Stable Dynamical Systems from demonstrations. It focuses on the Linear Parameter Varying formulation with "physically-consistent" GMM mixing function and different constraint variants, as proposed in [1].