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Submitted version of the thesis - Airlab, the Artificial Intelligence ...

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Chapter 7<br />

Conclusions and Future<br />

Work<br />

After <strong>the</strong> tests performed, proper modifications have been implemented to<br />

solve <strong>the</strong> detected problems discussed previously. At last, we have been able<br />

to obtain a working robot, satisfying most <strong>of</strong> <strong>the</strong> constraints defined at <strong>the</strong><br />

beginning. The robot dimensions are more or less same with <strong>the</strong> designed<br />

dimensions. Even though, we don’t have a proper method to measure <strong>the</strong><br />

robot’s maximum speed, <strong>the</strong> maximum speed achieved by <strong>the</strong> robot is fast<br />

enough as expected. The obstacle avoiding is implemented with bumpers,<br />

and supported with foams and springs. The camera head is placed on a<br />

servo, can be moved up and down. The fully charged batteries provide<br />

enough power to move <strong>the</strong> robot for at least 2 hours. It is difficult to estimate<br />

<strong>the</strong> total price <strong>of</strong> <strong>the</strong> robot. The camera board that is used, is not<br />

availablein<strong>the</strong>market, and<strong>the</strong>totalcost<strong>of</strong><strong>the</strong>componentsincameraboard<br />

might be misleading to determine <strong>the</strong> cost <strong>of</strong> <strong>the</strong> camera board. Moreover,<br />

for <strong>the</strong> o<strong>the</strong>r components, <strong>the</strong> prices show differences as <strong>the</strong> order quantity<br />

changes. In conclusion, <strong>the</strong> final price might match <strong>the</strong> cost constraint 250<br />

euro.<br />

The robot is fully working autonomously, playing <strong>the</strong> designed game<br />

without any interruption. The game is finding <strong>the</strong> predefined colored objects<br />

and going to <strong>the</strong>m in <strong>the</strong> defined order. We tested <strong>the</strong> game with<br />

two objects colored in orange and green. More colors and objects can be<br />

introduced easily following <strong>the</strong> steps indicated in Appendix C. The color<br />

detection must be made with <strong>the</strong> color calculator script and must be tested<br />

with <strong>the</strong> ST color picker s<strong>of</strong>tware. In order to have stable performance, it

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