4 papers
Large Language Models and their Awareness of Mechanics and Spatial Geometry
Johannes Gerstmayr, Sebastian Weyrer, Tobias Möltner +2
Large Language Models (LLMs) perform well on established code-generation and mathematical-reasoning benchmarks, but their capabilities in mechanics and spatial geometry, here denot…
Real-Time Structural Deflection Estimation in Hydraulically Actuated Systems Using 3D Flexible Multibody Simulation and DNNs
Qasim Khadim, Peter Manzl, Emil Kurvinen +3
The precision, stability, and performance of lightweight high-strength steel structures in heavy machinery is affected by their highly nonlinear dynamics. This, in turn, makes cont…
SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems
Peter Manzl, Alexander Humer, Qasim Khadim +1
In computational engineering, enhancing the simulation speed and efficiency is a perpetual goal. To fully take advantage of neural network techniques and hardware, we present the S…
Path Following and Stabilisation of a Bicycle Model using a Reinforcement Learning Approach
Sebastian Weyrer, Peter Manzl, A. L. Schwab +1
Over the years, complex control approaches have been developed to control the motion of a bicycle. Reinforcement Learning (RL), a branch of machine learning, promises easy deployme…