Difference between revisions of "Team Commando Tutorial/Explanation of Methods"
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Checkpoints can be a virtual wall, or the real wall immediately next to the room the robot has just left. The first checkpoint is just the robot's starting point. The robot follows the wall whenever it is measuring distance because the wall keeps the robot going straight ahead, which helps precision. | Checkpoints can be a virtual wall, or the real wall immediately next to the room the robot has just left. The first checkpoint is just the robot's starting point. The robot follows the wall whenever it is measuring distance because the wall keeps the robot going straight ahead, which helps precision. | ||
| + | |||
| + | ===Detecting Windows=== | ||
| + | |||
| + | ===Communicating between navigation and detection=== | ||
| + | *created motion sensing filter | ||
| + | *MATLAB starts window detection filter when motion sensor determines that robot has stopped moving | ||
Revision as of 16:28, 16 May 2012
Contents
Requirements
- iRobot Create
- Command Module
- Virtual walls
- PC with Windows OS
- RoboRealm
- MATLAB
- webcam
- flashlight
- reflective tape
Guide
Our general navigation algorithm is as follows:
- Find checkpoint
- Move along the wall a preset distance
- Now the robot is at a door. Face the door.
- Drive at maximum speed to clear threshold. Once threshold is clear, resume normal speed
- If door is open, then enter room, wait until image processing is done, turn around and leave
- Find the next checkpoint... etc.
Checkpoints can be a virtual wall, or the real wall immediately next to the room the robot has just left. The first checkpoint is just the robot's starting point. The robot follows the wall whenever it is measuring distance because the wall keeps the robot going straight ahead, which helps precision.
Detecting Windows
- created motion sensing filter
- MATLAB starts window detection filter when motion sensor determines that robot has stopped moving
