2022
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement With On-Orbit Validation
RA-L 2022
Certain forms of uncertainty that robotic systems encounter can be explicitly learned within the context of a known model, like parametric model uncertainties such as mass and moments of inertia. Quantifying such parametric uncertainty is important for more accurate prediction of the system behavior