2 papers
eess.SP2025
SAFERad: A Framework to Enable Radar Data for Safety-Relevant Perception Tasks
Tim Brühl, Jenny Glönkler, Robin Schwager +3
Radar sensors play a crucial role for perception systems in automated driving but suffer from a high level of noise. In the past, this could be solved by strict filters, which remo…
eess.SY2024
Adaptive Model Predictive Control for Differential-Algebraic Systems towards a Higher Path Accuracy for Physically Coupled Robots
Xin Ye, Karl Handwerker, Sören Hohmann
The physical coupling between robots has the potential to improve the capabilities of multi-robot systems in challenging manufacturing processes. However, the path tracking accurac…