English

Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach

Robotics 2020-03-11 v1

Abstract

In this paper, we describe a planner capable of generating walking trajectories by using the centroidal dynamics and the full kinematics of a humanoid robot model. The interaction between the robot and the walking surface is modeled explicitly through a novel contact parametrization. The approach is complementarity-free and does not need a predefined contact sequence. By solving an optimal control problem we obtain walking trajectories. In particular, through a set of constraints and dynamic equations, we model the robot in contact with the ground. We describe the objective the robot needs to achieve with a set of tasks. The whole optimal control problem is transcribed into an optimization problem via a Direct Multiple Shooting approach and solved with an off-the-shelf solver. We show that it is possible to achieve walking motions automatically by specifying a minimal set of references, such as a constant desired Center of Mass velocity and a reference point on the ground.

Keywords

Cite

@article{arxiv.2003.04633,
  title  = {Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach},
  author = {Stefano Dafarra and Giulio Romualdi and Giorgio Metta and Daniele Pucci},
  journal= {arXiv preprint arXiv:2003.04633},
  year   = {2020}
}

Comments

Accepted to ICRA2020

R2 v1 2026-06-23T14:09:55.708Z