Learning agile and dynamic motor skills for legged robots
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 …
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
We present a single trajectory optimization formulation for legged locomotion that
automatically determines the gait sequence, step timings, footholds, swing-leg motions, and …
automatically determines the gait sequence, step timings, footholds, swing-leg motions, and …
Crocoddyl: An efficient and versatile framework for multi-contact optimal control
We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-
source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently …
source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently …
Optimization-based control for dynamic legged robots
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 …
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
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 …
control tasks with extensive flight phases, such as those encountered in space exploration …
Whole-body nonlinear model predictive control through contacts for quadrupeds
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 …
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
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 …
research topic in the past decade. While MPC for robotic systems has a long history, its …
TAMOLS: Terrain-aware motion optimization for legged systems
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 …
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
Traditional motion planning approaches for multilegged locomotion divide the problem into
several stages, such as contact search and trajectory generation. However, reasoning about …
several stages, such as contact search and trajectory generation. However, reasoning about …
Jum** over obstacles with MIT Cheetah 2
This paper presents a planning framework for jum** over obstacles with quadruped
robots. The framework accomplishes planning via a structured predictive control strategy …
robots. The framework accomplishes planning via a structured predictive control strategy …