hilcg's repositories
ADHSMM
The MATLAB codes show simple examples for trajectory generation and control of a robot manipulator, which are built on an adaptive duration hidden semi-Markov model (ADHSMM). The models, algorithms and results given in these codes are part of a project aimed at learning proactive and reactive collaborative robot behaviors.
awesome-bimanual-manipulation
Robot bimanual manipulation / dual-arm manipulation
awesome-human-robot-interaction
A curated list of awesome human-robot interaction libraries and resources
awesome-matlab-robotics
This is a list of awesome demos, tutorials, utilities and overall resources for the robotics community that use MATLAB and Simulink.
awesome-mpc
A curated list of multi party computation resources and links.
awesome-rl
Reinforcement learning resources curated
BP-AR-HMM
This repository is used to discover and model dynamicl behaviors which are shared among several related time series.
human-motion-prediction
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
learning-ds-tutorial
GUI for learning DS from demonstrations using SEDS and LPV-DS approaches developed in LASA-EPFL.
MATLABRobotics
MATLAB sample codes for mobile robot navigation
ML_toolbox
A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard
myo-python
Python bindings for the Myo SDK
pbd-gmm
Using Sylvian Calinon's pbdlib repo to recreate GMM/HMM for Robot trajectories
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
pyrobolearn
PyRoboLearn: a Python framework for Robot Learning
PythonRobotics
Python sample codes for robotics algorithms.
SEDS
Stable Estimation of Dynamical System for Skill Learning and Realtime Collision Avoidance
shapeDTW
A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time series datasets.