【文件属性】：
文件名称：Robust Estimation and Applications in Robotics
文件大小：2.65MB
文件格式：PDF
更新时间：2022-01-28 19:43:58
鲁邦估计 机器人
The goal of this tutorial is helping to address the aforementioned challenges
by providing an introduction to robust estimation with a particular
focus on robotics. First, this is achieved by giving a concise overview of the
theory on M-estimation. M-estimators share many of the convenient properties
of least-squares estimators, and at the same time are much more robust
to deviations from the Gaussian model assumption. Second, we present several
example applications where M-Estimation is used to increase robustness
against nonlinearities and outliers.