*Mar*

Attached is a simple demo on one-step update of EM-SLAM algorithm. Note that the robot has only one observation at the begining, and then with an EM algorithm, the landmarks will converge to a certain configuration, but not exact position due to the prior guess of robot state has error. With a corre...

*Mar*

This week I was trying to derive the mathematical formulation of one-step update for recursive EM-SLAM algorith. I was referring to both batch EM-SLAM paper as well as recursive EM paper for reference, and I figured out a coarse representation of Q-function. While I am still doubt on how to get rid...

*Feb*

This week I was mainly surveying on puplications for recursive EM methods (not restricted to SLAM) in various applications, which is listed below: (1) Online EM algorithm for latent model This paper is more like a tutorial on how to use recursive EM algorithm to estimate parameter and update latent...

*Jan*

To debug what causes the divergence of EM-SLAM algorithm, I Separated E-step and M-step. To prove M-step is correct, every time I will feed a true Q-function from E-step to M-step. i.e. x=x_true, P=0. (Note in general, Q-function contains trajectory information and it is always estimated in E-step)....

*Jan*

For this quarter, I will work with Tsangkai addressing on EM-SLAM problem. First half of quarter:Investigate EM-SLAM problem in detail. Validate the result from "EM-SLAM with Visual/Inertial Application" using Python. Try to achieve convergence of this algorithm. If unable to achieve, figure ou...

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