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anymal_trotting

This repository contains the codes for building the memory of motion used in MEMMO project.

bayes_comp

MATH-435 Bayesian Computation Course (http://edu.epfl.ch/coursebook/fr/bayesian-computation-MATH-435)

bosdyn-hospital-bot

A repo to share resources related to configurations for hospital applications.

cit

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

crocoddyl

Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

docker-loco3d

Discussions relative to the docker for the generation of motion data using Loco3D pipeline.

hpp-rbprm-corba

python bindings for the rbprm library

iros_calib_2018

Paper on calibration of laser and robot kinematics parameters

iterative_lqr

Simple repository containing the basic Iterative LQR algorithm

learning_distribution_gan

Repository for the paper "Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning"

legged_robots

Course material for the legged robots class

memmo_for_trajopt_codes

This code is linked to the following paper: http://calinon.ch/papers/Lembono-RAL2020.pdf

memory_of_motion

Repository containing the codes for the ICRA paper "Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion" by Lembono, T. S. and Mastalli, C. and Fernbach, P. and Mansard, N. and Calinon, S.

multicontact-locomotion-planning

Generation of whole body motion with the decoupled framework proposed in the Loco-3D project

optimal_control_distribution

Repository for computing the probability distribution of an optimal control problem

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

pb_utils

Library for utility functions (visualization, forward kinematics, etc.) in pybullet

pin_utils

Pinocchio utility functions

robotics-coursework

🤖 Places where you can learn robotics (and stuff like that) online 🤖

teguhsl.github.io

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