Challenge 2 - Revision history

Pwt23 at 00:27, 19 February 2007

2007-02-19T00:27:02Z

Pwt23 at 21:18, 3 February 2007

2007-02-03T21:18:51Z

Pwt23 at 20:50, 3 February 2007

2007-02-03T20:50:45Z

Pwt23 at 20:50, 3 February 2007

2007-02-03T20:50:29Z

W Regli at 01:16, 3 February 2007

2007-02-03T01:16:23Z

Pwt23 at 06:22, 3 January 2007

2007-01-03T06:22:43Z

New page

[[Category:Roomba Design Lab (Winter 2007)]]
This page describes Challenge #2

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 #Detecting short-cuts that may be harder to 'sense' with basic algorithms
 Because the layout of this maze will be provided for you (though with less time than the first maze), this maze allows you to use a combination of dead-reckoning and autonomy. You should already have a good feel of what needs to be done to move the Roomba in whichever direction you need, so the challenge here is to exersize some insight into what will allow Roomba to see what you see if you were the one walking through the maze, and then translate such a thought process into a behavior. This maze differs from the first maze in that some degree of autonomy must be achieved in order for Roomba to find its way through the maze. However, you, Roomba's all-knowledgeable, omnipotent deity, knows the layout of the maze... so a good approach would be to guide Roomba through the certain parts of the maze that can be easily traversed via conventional dead-reckoning, and then write a behavior to sense its way through a specific obstacle, whether that be a short-cut or a traffic circle (a.k.a. roundabout, as they call them in the UK).
+<br>[[Image:Maze 2.png|Maze 2]]
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 Information on this challenge is available in the PPTs for the module:

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 #Developing behaviors that handle dead-ends, diagonal turns, curves, etc...
 #Detecting short-cuts that may be harder to 'sense' with basic algorithms
-Because the layout of this maze will be provided for you (though with less time than the first maze), this maze allows you to use a combination of dead-reckoning and autonomy. You should already have a good feel of what needs to be done to move the Roomba in whichever direction you need, so the challenge here is to exersize some insight into what will allow Roomba to see what you see if you were the one walking through the maze, and then translate such a thought process into a behavior. This maze differs from the first maze in that some degree of autonomy must be achieved in order for Roomba to find its way through the maze. However, you, Roomba's all-knowledgeable, omnipotent deity, knows the layout of the maze... so a good approach would be to guide Roomba through the certain parts of the maze that can be easily traversed via conventional dead-reckoning, and then write a behavior to sense its way through a specific obstacle, whether that be a short-cut or a traffic circle (aka roundabout, as they call them in the UK).
+Because the layout of this maze will be provided for you (though with less time than the first maze), this maze allows you to use a combination of dead-reckoning and autonomy. You should already have a good feel of what needs to be done to move the Roomba in whichever direction you need, so the challenge here is to exersize some insight into what will allow Roomba to see what you see if you were the one walking through the maze, and then translate such a thought process into a behavior. This maze differs from the first maze in that some degree of autonomy must be achieved in order for Roomba to find its way through the maze. However, you, Roomba's all-knowledgeable, omnipotent deity, knows the layout of the maze... so a good approach would be to guide Roomba through the certain parts of the maze that can be easily traversed via conventional dead-reckoning, and then write a behavior to sense its way through a specific obstacle, whether that be a short-cut or a traffic circle (a.k.a. roundabout, as they call them in the UK).
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 [[Category:Roomba Design Lab (Winter 2007)]]
+==Objective==
 In Roomba Challenge #2, The Maze, the Roomba must navigate a similar set of pathways as in Challenge #1.  While most of the maze can be navigated via dead reckoning (like Challenge #1), use of additional sensors will be required to find the exit the Maze.  Sensors that the teams may want to explore how to use include the wall sensor and other bump sensors.

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 In Roomba Challenge #2, The Maze, the Roomba must navigate a similar set of pathways as in Challenge #1.  While most of the maze can be navigated via dead reckoning (like Challenge #1), use of additional sensors will be required to find the exit the Maze.  Sensors that the teams may want to explore how to use include the wall sensor and other bump sensors.
-The Maze will start off somewhat like that of Challenge #1, however it will be 12x12 and require additional smarts to get out of.  It will be set up for practice by the Feb 11 (location TBD).
+The Maze will start off somewhat like that of Challenge #1, however it will be 12x12 and require additional smarts to get out of.  It will be set up for practice by the Feb 11 (location TBA).
 Information on this challenge is available in the PPTs for the module:
 [http://gicl.cs.drexel.edu/people/regli/tmp/roomba-module-v5.ppt [http://gicl.cs.drexel.edu/people/regli/tmp/roomba-module-v5.ppt]]

← Older revision		Revision as of 01:16, 3 February 2007
Line 1:		Line 1:
	[[Category:Roomba Design Lab (Winter 2007)]]		[[Category:Roomba Design Lab (Winter 2007)]]
−	~~This page describes~~ Challenge #2	+
		+	In Roomba Challenge #2, The Maze, the Roomba must navigate a similar set of pathways as in Challenge #1. While most of the maze can be navigated via dead reckoning (like Challenge #1), use of additional sensors will be required to find the exit the Maze. Sensors that the teams may want to explore how to use include the wall sensor and other bump sensors.
		+
		+	The Maze will start off somewhat like that of Challenge #1, however it will be 12x12 and require additional smarts to get out of. It will be set up for practice by the Feb 11 (location TBD).
		+
		+
		+	Information on this challenge is available in the PPTs for the module:
		+
		+
		+	[http://gicl.cs.drexel.edu/people/regli/tmp/roomba-module-v5.ppt [http://gicl.cs.drexel.edu/people/regli/tmp/roomba-module-v5.ppt]]