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Just checking how OpenMP & Boost::Python interact.

Git mirror of the official Crocoddyl's repository -- PULL REQUEST MUST BE SENT TO: https://github.com/loco-3d/crocoddyl

Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on an efficient Differential Dynamic Programming (DDP) algorithm. Crocoddyl computes optimal trajectories along to optimal feedback gains. It uses P

c++ implementation of "Human Trajectory Prediction Model and its Coupling with a Walking Pattern Generator of a Humanoid Robot" https://hal.archives-ouvertes.fr/hal-03292150.

Auto-tuned Iterative Closest Point -- AICP -- Public

Firmware for Libre Solar MPPT/PWM charge controllers

Sandbox Optimal Biped-Explicit Control

Packages used to calibrate a Talos robot using Qualisys motion capture system.

Implementation of the sl1m solver for multi contact planning

Packages used to calibrate a Talos robot using Qualisys motion capture system.

The Core project is the main repository intended to be cloned by end-users.

It provides all the configuration required to begin a project with OwnTech Power API, and includes the ability to automatically download OwnTech libraries.

Mirror of https://github.com/jrl-umi3218/jrl-cmakemodules

Set of robot URDFs for benchmarking and developed examples.

https://github.com/stack-of-tasks/sot-hrp2