Multibody System

Multibody system dynamics focuses on modeling and simulating the motion of interconnected rigid or flexible bodies, aiming to accurately predict their behavior under various forces and constraints. Current research emphasizes efficient simulation techniques, including machine learning approaches for faster response estimation and the development of highly efficient differentiable simulators for robotics applications, often leveraging advanced algorithms like ADMM for parallelization and improved scalability. These advancements are crucial for improving the design and control of complex systems like robots, spacecraft, and biomechanical models, enabling more realistic simulations and ultimately leading to better performance and safety in real-world applications.