98 citations · 412 across the 57 of their papers we have counts for
64 papers
Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems
Florian Messerer, Katrin Baumgärtner, Armin Nurkanović +1
We present a method for the approximate propagation of mean and covariance of a probability distribution through ordinary differential equations (ODE) with discontinous right-hand…
Finite Elements with Switch Detection for Numerical Optimal Control of Nonsmooth Dynamical Systems with Set-Valued Heaviside Step Functions
Armin Nurkanović, Anton Pozharskiy, Jonathan Frey +1
This paper develops high-accuracy methods for numerically solving optimal control problems subject to nonsmooth differential equations with set-valued step functions. A notable sub…
Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC
Yunfan Gao, Florian Messerer, Jonathan Frey +2
This paper presents an implementation of robust model predictive control (MPC) for collision-free reference trajectory tracking for mobile robots. The presented approach considers…
FESD-J: Finite Elements with Switch Detection for Numerical Optimal Control of Rigid Bodies with Impacts and Coulomb Friction
Armin Nurkanović, Jonathan Frey, Anton Pozharskiy +1
The Finite Elements with Switch Detection (FESD) is a high-accuracy method for the numerical simulation and solution of optimal control problems subject to discontinuous ODEs. In t…
Direct Collocation Methods for Trajectory Optimization in Constrained Robotic Systems
Ricard Bordalba, Tobias Schoels, Lluís Ros +2
Direct collocation methods are powerful tools to solve trajectory optimization problems in robotics. While their resulting trajectories tend to be dynamically accurate, they may al…
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation
Andrea Ghezzi, Jasper Hoffman, Jonathan Frey +2
This work presents a novel loss function for learning nonlinear Model Predictive Control policies via Imitation Learning. Standard approaches to Imitation Learning neglect informat…