Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot
Timm Faulwasser, Tobias Weber, Juan Pablo Zometa, Rolf Findeisen

TL;DR
This paper presents a real-time implementation of nonlinear model predictive path-following control for an industrial robot, enabling precise path tracking in applications like milling and measurement.
Contribution
It introduces a feasible real-time nonlinear model predictive control method for industrial robots, addressing constrained path following with and without reference speed.
Findings
Successful implementation on a KUKA LWR IV robot
Effective constrained path following demonstrated
Applicable to high-precision robotic tasks
Abstract
Many robotic applications, such as milling, gluing, or high precision measurements, require the exact following of a pre-defined geometric path. In this paper, we investigate the real-time feasible implementation of model predictive path-following control for an industrial robot. We consider constrained output path following with and without reference speed assignment. We present results from an implementation of the proposed model predictive path-following controller on a KUKA LWR IV robot.
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