Multibody Dynamic

Multibody dynamics focuses on modeling and simulating the motion of systems composed of multiple interconnected bodies, aiming to accurately predict their behavior under various forces and constraints. Current research emphasizes efficient algorithms for handling large-scale systems, including the use of variational integrators, ADMM for parallelization, and Gaussian processes for data-driven model identification. These advancements are crucial for applications ranging from robotics and vehicle dynamics to surgical simulation and spacecraft collision analysis, improving the accuracy and speed of simulations across diverse fields.