Hi Beh, thank you for your video! I have just one question: at 18:30, when you do multiplication between 0.2 and 0.2, 0.2 and 0.6, 0.2 and 0.6, etc., you get values 0.4, 1.2, 1.2, etc. The actual value of those products is 0.04, 0.12, 0.12. Is it a calculation mistake or am I missing something? Thank you again!
The mean in probability distribution show the location of robot and standard deviation shows uncertainty about that, if the robot moves the new mean point to the new location of robot
@@RoboCodeHub Yes, you mentioned that with ideal sensor the probability of hit will be 1 and probability of miss will be 0, so why there is still missing probability of 0,2 (0,6 hit + 0,2 miss = 0,8 )when the sensor is not ideal?
Hi Beh, thank you for your video! I have just one question: at 18:30, when you do multiplication between 0.2 and 0.2, 0.2 and 0.6, 0.2 and 0.6, etc., you get values 0.4, 1.2, 1.2, etc. The actual value of those products is 0.04, 0.12, 0.12. Is it a calculation mistake or am I missing something? Thank you again!
Hi, thanks for your comment, you are right, it should be 0.04.
Hey, at 33:26 shouldn't the probability of moving from x4 to x5 be equal to 0.8 instead of 0.1? As you mentioned moving 1 cell has probability of 0.8
Hey Beh, a question why does the probability distribution shifts as the robot moves?
The mean in probability distribution show the location of robot and standard deviation shows uncertainty about that, if the robot moves the new mean point to the new location of robot
Can you share the implementation of Markov Localization?
By the way the probability of hit and miss shouldn't be equal to 1 it's 0.8 at 17:00. Thanks!
No, please look at the definition of hit-and-miss,
Hit:
P(Z=R|X=R) or P(Z=G|X=G)
Miss:
P(Z=G|X=R) or P(Z=R|X=G)
@@RoboCodeHub Yes, you mentioned that with ideal sensor the probability of hit will be 1 and probability of miss will be 0, so why there is still missing probability of 0,2 (0,6 hit + 0,2 miss = 0,8 )when the sensor is not ideal?