Perceptive locomotion through nonlinear model-predictive control

R Grandia, F Jenelten, S Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …

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 …

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 …

Direct collocation methods for trajectory optimization in constrained robotic systems

R Bordalba, T Schoels, L Ros… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Direct collocation methods are powerful tools to solve trajectory optimization problems in
robotics. While their resulting trajectories tend to be dynamically accurate, they may also …

Reactive planar non-prehensile manipulation with hybrid model predictive control

FR Hogan, A Rodriguez - The International Journal of …, 2020 - journals.sagepub.com
This article presents an offline solution and online approximation to the hybrid control
problem of planar non-prehensile manipulation. Hybrid dynamics and underactuation are …

Contact-implicit trajectory optimization using orthogonal collocation

A Patel, SL Shield, S Kazi, AM Johnson… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
In this letter, we propose a method to improve the accuracy of trajectory optimization for
dynamic robots with intermittent contact by using orthogonal collocation. Until recently, most …

Trajectory optimization with implicit hard contacts

J Carius, R Ranftl, V Koltun… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
We present a contact invariant trajectory optimization formulation to synthesize motions for
legged robotic systems. The method is capable of finding optimal trajectories subject to …

The control toolbox—an open-source c++ library for robotics, optimal and model predictive control

M Giftthaler, M Neunert, M Stäuble… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
We introduce the Control Toolbox (CT), an open-source C++ library for efficient modeling,
control, estimation, trajectory optimization and Model Predictive Control. The CT is …

Frequency-aware model predictive control

R Grandia, F Farshidian, A Dosovitskiy… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Transferring solutions found by trajectory optimization to robotic hardware remains a
challenging task. When the optimization fully exploits the provided model to perform …