Modeling and Simulation with Interval Uncertainties in Julia
In robotic systems, uncertainty in model parameters, such as joint stiffness, link lengths, or mass distributions, can significantly affect performance and precision. This thesis investigates the quantification and propagation of such uncertainties using the programming language Julia, with a focus on developing a systematic framework for uncertainty-aware modeling and simulation. It leverages the
