Efficiency of robotic vacuums at home - Revision history

Xveds: /* Environment (the room) */

2017-01-20T22:41:45Z

‎Environment (the room)

Xveds: /* Environment (the room) */

2017-01-20T22:41:32Z

‎Environment (the room)

Xveds: /* Conclusion */

2017-01-20T22:31:35Z

‎Conclusion

Xveds: /* Results */

2017-01-20T21:49:07Z

‎Results

Xveds: /* Results */

2017-01-20T21:48:31Z

‎Results

Xveds: /* Results */

2017-01-20T21:43:49Z

‎Results

Xveds: /* Results */

2017-01-20T21:42:58Z

‎Results

Xveds: /* Results */

2017-01-20T21:00:08Z

‎Results

Xveds: /* Results */

2017-01-20T20:25:32Z

‎Results

Xveds: /* Code */

2017-01-20T15:05:15Z

‎Code

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 For realistic purposes, the environment is a room, more likely a living room, with obstacles as furniture occurring in an ordinary household. I laid out the obstacles in my best intention as I think the ordinary living room could look like. There is a table with chairs, couch, television and kitchen with a bar. The room has also walls at each side where cleaner cannot go through.
-All obstacle patches are in a brown colour. A floor is white covered by grey dust. The floor is seen only after the dust vacuumed.
+All obstacle patches are in a brown colour. A floor is white covered by grey dust. The floor is seen only after the dust is vacuumed.
 [[File:VacuumCleaner-environment.png]]

@@ Line 16: / Line 16: @@
 For realistic purposes, the environment is a room, more likely a living room, with obstacles as furniture occurring in an ordinary household. I laid out the obstacles in my best intention as I think the ordinary living room could look like. There is a table with chairs, couch, television and kitchen with a bar. The room has also walls at each side where cleaner cannot go through.
-All obstacle patches are in a brown colour. A floor is white covered by grey dust. The floor is seen only after vacuuming the dust.
+All obstacle patches are in a brown colour. A floor is white covered by grey dust. The floor is seen only after the dust vacuumed.
 [[File:VacuumCleaner-environment.png]]

@@ Line 80: / Line 80: @@
 ==Conclusion==
-how the problem was solved
+The first problem - creating the intelligent algorithm was done successfully in my opinion. None of the 1000 repetitions gets stuck and if it is close to it, the cleaner switches to the random approach which is partially the intelligence of that. And instead of running up and down in random direction, it has a known goal or rather is attracted to the dust and thus  - collect all of it.
 ==Code==

@@ Line 76: / Line 76: @@
 |}
 [[File:VacuumCleaner-intelligentHistogram.png|500px]]
 ==Conclusion==

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 ==Results==
-I used BehaviorSpace which is a part of NetLogo to capture the results. I used 1000 repetitions for each cleaner. The results are depicted by the scatter plot below. The x-axis is repetition and y-axis amount of ticks taken to clean the room. Sooner the cleaning was done, lower the green/blue dot is placed. The green dots are random cleaner and blue dots the intelligent one. As it is easy to see, the random cleaner was much slower. To see real values, I applied some basic descriptive statistic whose values are in the following table. According to all of that, the intelligent algorithm is almost three times faster than the random one, and thus, more efficient. It also proves that intelligent algorithm was programmed right.
+I used BehaviorSpace which is a part of NetLogo to capture the results. I used 1000 repetitions for each cleaner. The results are depicted by the scatter plot below (can be enlarged). The x-axis is a sequence of repetition and y-axis amount of ticks taken to clean the room. Sooner the cleaning was done, lower the green/blue dot is placed. The green dots are random cleaner and blue dots the intelligent one. As it is easy to see, the random cleaner was much slower. To see real values, I applied some basic descriptive statistic whose values are in the following table. According to all of that, the intelligent algorithm is almost three times faster than the random one, and thus, more efficient. It also proves that intelligent algorithm was programmed right.
 Additionally, I created histogram plots of both cleaners as an illustration of its distributed values.
 The raw data are in attached file in section "Code".
-[[File:VacuumCleaner-variance.png|500px|none]]
+[[File:VacuumCleaner-variance.png|700px|none]]
 {| class="wikitable"
@@ Line 76: / Line 76: @@
 |}
-[[File:VacuumCleaner-intelligentHistogram.png|300px]]
+[[File:VacuumCleaner-intelligentHistogram.png|500px]]
-[[File:VacuumCleaner-randomHistogram.png|300px]]
+[[File:VacuumCleaner-randomHistogram.png|500px]]
 ==Conclusion==

@@ Line 49: / Line 49: @@
 list of results, their analysis, interpretation and evaluation
-I used BehaviorSpace which is a part of NetLogo to capture the results. I used 1000 repetitions for each cleaner and computed a few statistical values. The values are in ticks taken to clean the room. The results are in an attached file (see below, section Code). I obtained the most important data in a following table and graphs.
+I used BehaviorSpace which is a part of NetLogo to capture the results. I used 1000 repetitions for each cleaner. There are depicted by a following scatter plot. The raw data are in attached file in section "Code".
 {| class="wikitable"
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 [[File:VacuumCleaner-randomHistogram.png|400px|none]]
 ==Conclusion==

← Older revision		Revision as of 20:25, 20 January 2017
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	As we can see, the intelligent algorithm is almost three times faster than the random one. It also proves that intelligent algorithm was programmed right.		As we can see, the intelligent algorithm is almost three times faster than the random one. It also proves that intelligent algorithm was programmed right.
		+
		+	[[File:VacuumCleaner-variance.png\|700px\|left]]

	{\| class="wikitable"		{\| class="wikitable"

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 ==Code==
-soubory
+[[File:VacuumCleaner-results.xlsx]]
 ==Sources==