This article deals with the problem of local sensitivity analysis, that is, how sensitive are the results of a statistical analysis to changes in the data? A general methodology of sensitivity ...

Book Abstract: Solving estimation problems is a fundamental component of numerous robotics applications. Prominent examples involve pose estimation, point cloud alignment, and object tracking.

This is a preview. Log in through your library . Abstract A robust and reliable parameter estimation is a critical issue for modeling in immunology. We developed a computational methodology for ...

Abstract: Optimal estimation is a promising tool for estimation of payloads' inertial parameters and localization of robots in the presence of multiple contacts. To harness its advantages in robotics, ...