All language subtitles for 02_closing.en

Congratulations!

You have just completed the estimation and

learning module in
the robotics specialization.

To recap what you've learned, we saw that
in week one you learned about how to use

Gaussian Models to estimate and
learn from uncertain data.

Then, we saw how to track these
distributions over time in week

two using the Kalman Filter.

Then, in the third week, you learn about
robotic mapping and how to represent

uncertainty in the objects in
the environment around the robot.

Finally, in week four, you learn how
robots can keep track of their pose over

time, using a particle filter for
localization.

We hope that you've enjoyed this module
and that you've learned how to use and

represent uncertainty in
the environment in these robots.