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Guilhem Saurel

7 accepted papers

2022

Introducing Force Feedback in Model Predictive Control

IROS 2022poster

In the literature about model predictive control (MPC), contact forces are planned rather than controlled. In this paper, we propose a novel paradigm to incorporate effort measurements into a predictive controller, hence allowing to control them by direct measurement feedback. We first demonstrate w…

Cited by 14SourceScholar
2021

Comparison of predictive controllers for locomotion and balance recovery of quadruped robots

ICRA 2021poster

As locomotion decisions must be taken by considering the future, most existing quadruped controllers are based on a model predictive controller (MPC) with a reduced model of the dynamics to generate the motion and a whole- body controller to execute it. Yet the simplifying assumptions of the MPC are…

Cited by 19SourceScholar
2021

Learning to steer a locomotion contact planner

ICRA 2021poster

The combinatorics inherent to the issue of planning legged locomotion can be addressed by decomposing the problem: first, select a guide path abstracting the contacts with a heuristic model; then compute the contact sequence to balance the robot gait along the guide path. While several models have b…

Cited by 4SourceScholar
2021

Whole Body Model Predictive Control with a Memory of Motion: Experiments on a Torque-Controlled Talos

ICRA 2021poster

This paper presents the first successful experiment implementing whole-body model predictive control with state feedback on a torque-control humanoid robot. We demonstrate that our control scheme is able to do whole-body target tracking, control the balance in front of strong external perturbations…

Cited by 63SourceScholar
2020

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

ICRA 2020poster

We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently computes the state trajectory and the control policy for a given predefined sequence of contacts. Its efficiency is due…

Cited by 381SourcecodeScholar
2017

Actuator design of compliant walkers via optimal control

IROS 2017poster

We present an optimization framework for the design and analysis of underactuated biped walkers, characterized by passive or actuated joints with rigid or non-negligible elastic actuation/transmission elements. The framework is based on optimal control, dealing with geometric constraints and various…

Cited by 18SourceScholar