activity
20122023
most citedDirect Collocation Methods for Trajectory Optimization in Constrained Robotic Systems

48 citations · 51 across the 10 of their papers we have counts for

collaborators

10 papers

math.OC2023

Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados

Jonathan Frey, Yunfan Gao, Florian Messerer +3

Robust and stochastic optimal control problem (OCP) formulations allow a systematic treatment of uncertainty, but are typically associated with a high computational cost. The recen…

math.OC2023

Gauss-Newton Runge-Kutta Integration for Efficient Discretization of Optimal Control Problems with Long Horizons and Least-Squares Costs

Jonathan Frey, Katrin Baumgärtner, Moritz Diehl

This work proposes an efficient treatment of continuous-time optimal control problem (OCP) with long horizons and nonlinear least-squares costs. The Gauss-Newton Runge-Kutta (GNRK)…

math.OC20231 cited

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…

cs.RO202348 cited

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…

cs.LG2023

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…

math.OC20211 cited

Introducing the quadratically-constrained quadratic programming framework in HPIPM

Gianluca Frison, Jonathan Frey, Florian Messerer +2

This paper introduces the quadratically-constrained quadratic programming (QCQP) framework recently added in HPIPM alongside the original quadratic-programming (QP) framework. The…