3 citations · 4 across the 7 of their papers we have counts for
8 papers
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…
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…
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…
Neural network-enhanced integrators for simulating ordinary differential equations
Amine Othmane, Kathrin Flaßkamp
Numerous applications necessitate the computation of numerical solutions to differential equations across a wide range of initial conditions and system parameters, which feeds the…
The impact of AI on engineering design procedures for dynamical systems
Kristin M. de Payrebrune, Kathrin Flaßkamp, Tom Ströhla +19
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The dev…
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-…
Koopman Based Trajectory Optimization with Mixed Boundaries
Mohamed Abou-Taleb, Maximilian Raff, Kathrin Flaßkamp +1
Trajectory optimization is a widely used tool in the design and control of dynamical systems. Typically, not only nonlinear dynamics, but also couplings of the initial and final co…
The Indirect Method for Generating Libraries of Optimal Periodic Trajectories and Its Application to Economical Bipedal Walking
Maximilian Raff, Kathrin Flaßkamp, C. David Remy
Trajectory optimization is an essential tool for generating efficient, dynamically consistent gaits in legged locomotion. This paper explores the indirect method of trajectory opti…