2 citations · 3 across the 5 of their papers we have counts for
5 papers
Accelerated Multi-Modal Motion Planning Using Context-Conditioned Diffusion Models
Edward Sandra, Lander Vanroye, Dries Dirckx +3
Classical methods in robot motion planning, such as sampling-based and optimization-based methods, often struggle with scalability towards higher-dimensional state spaces and compl…
ASAP-MPC: An Asynchronous Update Scheme for Online Motion Planning with Nonlinear Model Predictive Control
Dries Dirckx, Mathias Bos, Bastiaan Vandewal +3
This paper presents a Nonlinear Model Predictive Control (NMPC) scheme targeted at motion planning for mechatronic motion systems, such as drones and mobile platforms. NMPC-based m…
FATROP : A Fast Constrained Optimal Control Problem Solver for Robot Trajectory Optimization and Control
Lander Vanroye, Ajay Sathya, Joris De Schutter +1
Trajectory optimization is a powerful tool for robot motion planning and control. State-of-the-art general-purpose nonlinear programming solvers are versatile, handle constraints e…
A Generalization of the Riccati Recursion for Equality-Constrained Linear Quadratic Optimal Control
Lander Vanroye, Joris De Schutter, Wilm Decré
This paper introduces a generalization of the well-known Riccati recursion for solving the discrete-time equality-constrained linear quadratic optimal control problem. The recursio…
Reversible random number generation for adjoint Monte Carlo simulation of the heat equation
Emil Løvbak, Frédéric Blondeel, Adam Lee +3
In PDE-constrained optimization, one aims to find design parameters that minimize some objective, subject to the satisfaction of a partial differential equation. A major challenges…