Reference no: EM131102280
E28: Mobile Robotics - Fall 2015 - HOMEWORK 9
1. Bayes Filter
A clumsy, distractible, and somewhat illiterate robot is trying to determine whether it is in the West Wing or East Wing of Parish hall. The state x ∈ {west, east} of the robot corresponds to its location. The robot may apply one of two actions u ∈ {cross, stay}, and subsequently try to observe whether it is standing outside the bank in the West Wing, or the Registrar's office in the East Wing, with z ∈ {bank, registrar}.
The robot is not too bad at crossing from the West to the East, with a failure rate of just 5%; however when crossing from East to West, the robot has a 30% chance of becoming distracted by a student playing piano in the parlor, and wandering back to where it started. When attempting to stay put, the robot has a 10% failure rate in the West Wing (owing, again, to the allure of the piano); however it has a perfect 100% success rate in staying put in the East Wing.
When in the West Wing, the robot is pretty good at recognizing the bank, with a failure rate of just 5%; however, the robot often mistakes the Registrar's office in the East Wing for a bank as well, 15% of the time.
a. Write down the motion model of the robot as a list or table of eight conditional probabilities of the form p(x'|x, u).
b. Write down the sensor model of the robot as a list or table of four conditional probabilities of the form p(z|x).
c. Initially, the robot believes there is a 50% chance that it is in either wing (i.e. bel(west) = bel(east) = 0.5). It then applies the action u = cross. After the motion update, what is bel(x) for each state?
d. Subsequently, the robot makes an observation of z = bank. After the measurement update, what is bel(x) for each state?
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