4 papers · 1 filter
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
Henrik Ebel, Jan van Delden, Timo Lüddecke +15
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent…
The impact of AI on engineering design procedures for dynamical systems
Kristin M. de Payrebrune, Kathrin FlaÃkamp, 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-…
Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry
Mario Rosenfelder, Lea Bold, Hannes Eschmann +3
Advances in machine learning and the growing trend towards effortless data generation in real-world systems has led to an increasing interest for data-inferred models and data-base…