activity
20202026
most citedEfficient Avoidance of Ellipsoidal Obstacles with Model Predictive Control for Mobile Robots and Vehicles

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making

Markus Herrmann-Wicklmayr, Kathrin Flaßkamp

In multi-objective optimization, the set of optimal trade-offs -- the Pareto front -- often contains regions that are extremely steep or flat. The Pareto optimal points in these re…

eess.SY2025

Efficient Collision-Avoidance Constraints for Ellipsoidal Obstacles in Optimal Control: Application to Path-Following MPC and UAVs

David Leprich, Mario Rosenfelder, Markus Herrmann-Wicklmayr +3

This article proposes a modular optimal control framework for local three-dimensional ellipsoidal obstacle avoidance, exemplarily applied to model predictive path-following control…

math.OC2025★ 1 cited

Individual Minima-Informed Multi-Objective Model Predictive Control for Fixed Point Stabilization

Markus Herrmann-Wicklmayr, Kathrin Flaßkamp

In multi-objective model predictive control (MOMPC), a single Pareto-optimal solution has to be selected at each sampling instant by an automated a priori decision-making (DM) mech…

cs.RO2024★ 3 cited

Efficient Avoidance of Ellipsoidal Obstacles with Model Predictive Control for Mobile Robots and Vehicles

Mario Rosenfelder, Hendrik Carius, Markus Herrmann-Wicklmayr +3

In real-world applications of mobile robots, collision avoidance is of critical importance. Typically, global motion planning in constrained environments is addressed through high-…

eess.SY2020

Robust Model Predictive Longitudinal Position Tracking Control for an Autonomous Vehicle Based on Multiple Models

André Kempf, Markus Herrmann-Wicklmayr, Steffen Müller

The aim of this work is to control the longitudinal position of an autonomous vehicle with an internal combustion engine. The powertrain has an inherent dead-time characteristic an…