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This package is extracted from an original work of Justin Carpentier (jcarpent@laas.fr), with the goal to simplify the library and remove old dependencies. This package install a python module used to define, store and use ContactSequence objects.

Encapsulate Pinocchio in SoT

Collection of dynamic-graph entities aimed at implementing torque control on different robots. https://github.com/stack-of-tasks/sot-torque-control

Just checking how OpenMP & Boost::Python interact.

Set of robot URDFs for benchmarking and developed examples.

3D model of the Gerard Bauzil experimental room.

Wrapping the Stack-of-Stacks in roscontrol

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

Petri net library

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.