Final Exam FAQs
- Q: Which robot type are we to use? A: P2AT.
- Q: What robot parameters are we to use? A: Same as those given in Assignment 2.
- Q: How does each sensor work? (Field of view, number of sensors) A: The P2AT has a ring of sonars, a laser range finder, odometry sensors, ins sensor, and touch sensors.
- Q: Do all sensors "cost" the same? A: No. Sensors that provide more fine grain data will cost more. Global sensors, i.e. INS, will cost more than local sensors, i.e. odometry.
- Q: Will we be provided with a discretized map? A: No. You must decide on how you want to discretize the map.
Final Exam Scoring Guidelines
Below is the formula that will be used to assess each team's performance:Score = gamma*(g/G) - sigma( s/2) - lambda( (l-1)/2 ) - mu( m/M ) - omega( o/O ) - phi
where- g = number of goal reached and G = total number of goals;
- s = number global sensors used (GPS or INS);
- l = number local sensors used (touch sensors, odometry (wheel encoders), ultrasonics, laser range finders);
- m = number of moving walls struck and M = total of moving walls;
- o = number of unmodeled obstacles struck and O = total of unmodeled obstacles;
- gamma = 100%, rewards goals reached;
- sigma = 20%, penalizes for global sensors;
- lambda = 20%, penalizes for local sensors;
- mu = 12%, penalizes for hitting moving walls;
- omega = 20%, penalizes for hitting unmodeled obstacles;
- phi = 10%, penalizes for general failures such as immobolized or flipped robot.
Final Exam Sample Files
Maps | Notes | Test Goals |
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Sample Map 1 Files
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Here are some specs and
sample goal locations for the workspace:
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Sample Map 2 Files
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Here are some specs and
sample goal locations for the workspace:
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Sample Map 3 Files
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Here are some specs and
sample goal locations for the workspace:
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The "no tricks" version of the sample maps can be found here. Make sure you place them in the "Maps" directory. |