Perceptive locomotion through nonlinear model-predictive control
Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …
and planning of the underactuated dynamics of the system. Reliably optimizing for such …
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 …
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 …
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 …
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
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 …
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 …
problem of planar non-prehensile manipulation. Hybrid dynamics and underactuation are …
Contact-implicit trajectory optimization using orthogonal collocation
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 …
dynamic robots with intermittent contact by using orthogonal collocation. Until recently, most …
Trajectory optimization with implicit hard contacts
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 …
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 …
control, estimation, trajectory optimization and Model Predictive Control. The CT is …
Frequency-aware model predictive control
Transferring solutions found by trajectory optimization to robotic hardware remains a
challenging task. When the optimization fully exploits the provided model to perform …
challenging task. When the optimization fully exploits the provided model to perform …