could someone explain in details?

For this assignmentI use Bayes' rule [just like the examples for the localization lecture] for f'u'ld the probabilities of the robot being at each given location. You DO NOT need to ll out the Event Probabilities grid But I highly encourage it. 1. {15] Assume the robot in this scenario has a 100% accurate compass. Assume North is the top of the page. ll {Initialization} The robot is placed in a random location in a square room 2' The robot moves forward ] unit north with a certaintyr of 30% 3. The robot moves east two units with a certaintyr of 80% 4. The robot moves west 1 unit with a certaint}r of S% Location Probabilities Location Probabilities Location Probabilities Location Probabilities Event Probabilities Event Probabilities Event Probabilities Event Probabilities Initialization