Learning agile and dynamic motor skills for legged robots

J Hwangbo, J Lee, A Dosovitskiy, D Bellicoso… - Science Robotics, 2019 - science.org
Legged robots pose one of the greatest challenges in robotics. Dynamic and agile
maneuvers of animals cannot be imitated by existing methods that are crafted by humans. A …

Gait and trajectory optimization for legged systems through phase-based end-effector parameterization

AW Winkler, CD Bellicoso, M Hutter… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
We present a single trajectory optimization formulation for legged locomotion that
automatically determines the gait sequence, step timings, footholds, swing-leg motions, and …

Crocoddyl: An efficient and versatile framework for multi-contact optimal control

C Mastalli, R Budhiraja, W Merkt… - … on Robotics and …, 2020 - ieeexplore.ieee.org
We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-
source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently …

Optimization-based control for dynamic legged robots

PM Wensing, M Posa, Y Hu, A Escande… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to
impact emerging robotics applications from logistics, to agriculture, to home assistance. The …

Cat-like jum** and landing of legged robots in low gravity using deep reinforcement learning

N Rudin, H Kolvenbach, V Tsounis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we show that learned policies can be applied to solve legged locomotion
control tasks with extensive flight phases, such as those encountered in space exploration …

Whole-body nonlinear model predictive control through contacts for quadrupeds

M Neunert, M Stäuble, M Giftthaler… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
In this letter, we present a whole-body nonlinear model predictive control approach for rigid
body systems subject to contacts. We use a full-dynamic system model which also includes …

Model predictive control of legged and humanoid robots: models and algorithms

S Katayama, M Murooka, Y Tazaki - Advanced Robotics, 2023 - Taylor & Francis
Model predictive control (MPC) of legged and humanoid robotic systems has been an active
research topic in the past decade. While MPC for robotic systems has a long history, its …

TAMOLS: Terrain-aware motion optimization for legged systems

F Jenelten, R Grandia, F Farshidian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Terrain geometry is, in general, nonsmooth, nonlinear, nonconvex, and, if perceived through
a robot-centric visual unit, appears partially occluded and noisy. This article presents the …

Simultaneous contact, gait, and motion planning for robust multilegged locomotion via mixed-integer convex optimization

B Aceituno-Cabezas, C Mastalli, H Dai… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Traditional motion planning approaches for multilegged locomotion divide the problem into
several stages, such as contact search and trajectory generation. However, reasoning about …

Jum** over obstacles with MIT Cheetah 2

HW Park, PM Wensing, S Kim - Robotics and Autonomous Systems, 2021 - Elsevier
This paper presents a planning framework for jum** over obstacles with quadruped
robots. The framework accomplishes planning via a structured predictive control strategy …