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 …

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 …

Reinforcement learning control of a flexible two-link manipulator: An experimental investigation

W He, H Gao, C Zhou, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

Controlling legs for locomotion—insights from robotics and neurobiology

T Buschmann, A Ewald, A von Twickel… - Bioinspiration & …, 2015 - iopscience.iop.org
Walking is the most common terrestrial form of locomotion in animals. Its great versatility and
flexibility has led to many attempts at building walking machines with similar capabilities …

A direct method for trajectory optimization of rigid bodies through contact

M Posa, C Cantu, R Tedrake - The International Journal of …, 2014 - journals.sagepub.com
Direct methods for trajectory optimization are widely used for planning locally optimal
trajectories of robotic systems. Many critical tasks, such as locomotion and manipulation …

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 …

From human to humanoid locomotion—an inverse optimal control approach

K Mombaur, A Truong, JP Laumond - Autonomous robots, 2010 - Springer
The purpose of this paper is to present inverse optimal control as a promising approach to
transfer biological motions to robots. Inverse optimal control helps (a) to understand and …

[PDF][PDF] Analytical derivatives of rigid body dynamics algorithms

J Carpentier, N Mansard - Robotics: Science and …, 2018 - m.roboticsproceedings.org
Rigid body dynamics is a well-established frame--work in robotics. It can be used to expose
the analytic form of kinematic and dynamic functions of the robot model. So far, two major …

Optimizing locomotion controllers using biologically-based actuators and objectives

JM Wang, SR Hamner, SL Delp, V Koltun - ACM Transactions on …, 2012 - dl.acm.org
We present a technique for automatically synthesizing walking and running controllers for
physically-simulated 3D humanoid characters. The sagittal hip, knee, and ankle degrees-of …

Optimization and stabilization of trajectories for constrained dynamical systems

M Posa, S Kuindersma… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Contact constraints, such as those between a foot and the ground or a hand and an object,
are inherent in many robotic tasks. These constraints define a manifold of feasible states; …