6 papers
Riccati-ZORO: An efficient algorithm for heuristic online optimization of internal feedback laws in robust and stochastic model predictive control
Florian Messerer, Yunfan Gao, Jonathan Frey +1
We present Riccati-ZORO, an algorithm for tube-based optimal control problems (OCP). Tube OCPs predict a tube of trajectories to capture predictive uncertainty. The tube induces a…
Semi-Infinite Programming for Collision-Avoidance in Optimal and Model Predictive Control
Yunfan Gao, Florian Messerer, Niels van Duijkeren +2
This paper presents a novel approach for collision avoidance in optimal and model predictive control, in which the environment is represented by a large number of points and the ro…
Real-Time-Feasible Collision-Free Motion Planning For Ellipsoidal Objects
Yunfan Gao, Florian Messerer, Niels van Duijkeren +2
Online planning of collision-free trajectories is a fundamental task for robotics and self-driving car applications. This paper revisits collision avoidance between ellipsoidal obj…
Stochastic Model Predictive Control with Optimal Linear Feedback for Mobile Robots in Dynamic Environments
Yunfan Gao, Florian Messerer, Niels van Duijkeren +1
Robot navigation around humans can be a challenging problem since human movements are hard to predict. Stochastic model predictive control (MPC) can account for such uncertainties…
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…
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…