Team Six/Final Paper

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==Overall Strategy==
==Overall Strategy==
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Our initial overall strategy was as follows:
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'''Robot algorithm''': The algorithm runs as long as the timer is noted less than 3 minutes (180 seconds). The first ball seen will have its color noted and be saved in a variable called our_color. As soon as this is established, search the map for goals, the goals are determined as follows: if a yellow wall is seen, drive up to it and use the ir sensor to determine whether or not the depth of the wall varies along its length. If the wall does vary, save the location of the goal in a list called goals_loc[]. When the number of goals is greater than 2 (or if more than 30 seconds have elapsed), then begin to look for balls. Whenever a ball is found, look for the nearest goal and transfer the ball to that goal. Do this as long as the timer has not gone over 2 minutes. After two minutes, whenever a ball is found, if the distance between the ball and the nearest known wall to the opponents side is less than the distance to the nearest known goal, then save the distance and calculate a random number between 0 and 1 and save it to rand_n. Should rand_n > e ^ -(d_togoal-d_towall), throw the ball over the wall, else, throw the ball into the goal. Stop after 3 minutes.
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'''Robot strategy''': We decided that we are stronger on the course 6 side of the spectrum than the course 2 side of the spectrum. We're going to keep our robot design relatively simple, with a conveyor belt and accompanying pinball-machine-like doors to pull balls into the robot and drop them into a compartment. On the side, we will have a door that opens when told so that we can drop all our balls into the goal. We decided not to drop balls onto the other side in order to keep our robot simple so that we can focus on our code.
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'''Time-allotment strategy''':
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    * Michael - Since Maslab is his main IAP commitment, he'll code in the evenings and possibly during the day.
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    * Shawn - Work until 4pm every day, code at night with Michael.
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    * Piper - Work on building between lecture (or late mornings when lecture isn't happening) and 7pm daily.
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    * Xavier - Work on building between lecture (or late mornings when lecture isn't happening) and 7pm daily.
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==Mechanical Design and Sensors==
==Mechanical Design and Sensors==

Revision as of 23:27, 24 January 2011

Contents


Overall Strategy

Our initial overall strategy was as follows:

Robot algorithm: The algorithm runs as long as the timer is noted less than 3 minutes (180 seconds). The first ball seen will have its color noted and be saved in a variable called our_color. As soon as this is established, search the map for goals, the goals are determined as follows: if a yellow wall is seen, drive up to it and use the ir sensor to determine whether or not the depth of the wall varies along its length. If the wall does vary, save the location of the goal in a list called goals_loc[]. When the number of goals is greater than 2 (or if more than 30 seconds have elapsed), then begin to look for balls. Whenever a ball is found, look for the nearest goal and transfer the ball to that goal. Do this as long as the timer has not gone over 2 minutes. After two minutes, whenever a ball is found, if the distance between the ball and the nearest known wall to the opponents side is less than the distance to the nearest known goal, then save the distance and calculate a random number between 0 and 1 and save it to rand_n. Should rand_n > e ^ -(d_togoal-d_towall), throw the ball over the wall, else, throw the ball into the goal. Stop after 3 minutes.

Robot strategy: We decided that we are stronger on the course 6 side of the spectrum than the course 2 side of the spectrum. We're going to keep our robot design relatively simple, with a conveyor belt and accompanying pinball-machine-like doors to pull balls into the robot and drop them into a compartment. On the side, we will have a door that opens when told so that we can drop all our balls into the goal. We decided not to drop balls onto the other side in order to keep our robot simple so that we can focus on our code.

Time-allotment strategy:

   * Michael - Since Maslab is his main IAP commitment, he'll code in the evenings and possibly during the day.
   * Shawn - Work until 4pm every day, code at night with Michael.
   * Piper - Work on building between lecture (or late mornings when lecture isn't happening) and 7pm daily.
   * Xavier - Work on building between lecture (or late mornings when lecture isn't happening) and 7pm daily. 


Mechanical Design and Sensors

Software Design

Overall Performance

Conclusions/suggestions for future teams

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