Has some great fighting ideas and mechanisms to consider.

I think that cliff detection would be a great help for this project. Avoid getting hit off the box more often than not.

You should make the robot closer to the ground so the robot has better balance and control. It wiil not fall as easily if it is closer to the ground.

In this setup, a single light sensor is positioned on the robot and programmed to follow the outer-edge of a black line. We commonly refer to the robot executing a 'Z' pattern while following the black line.

This lesson will help you to follow the line better and more efficiently

Before line following using either the LineFollow2 or LineFollow5 program, you should "calibrate" the light sensor to the actual conditions expected. With the sensor mounted on the robot where it will be used, and the robot placed over the actual line it will be following, a calibration process takes two light sensor readings, one directly over the line (minimum = darkest), and one over the surface away from the line (maximum = brightest).

When programming with loops, you often must access data from previous iterations of the loop in LabVIEW. For example, if you are acquiring one piece of data in each iteration of a loop and must average every five pieces of data, you must retain the data from previous iterations of the loop.

Great steps for gear ratios.Ideas for changing the gear ratios faster?

Maybe, we could put the ultrasonic sensor on the NXT. We could put our fingers in front of the sensor right before the race would start. We could program the ultrasonic to go when our fingers are at a certain distance away from teh sensor.

Another great video for wall detectio using the ultrasonic sensor.

great video for wall detection and how the robot will make its way through obstacles.

When Roomba knocks into something, its bumper retracts, activating mechanical object sensors that tell Roomba it has encountered an obstacle. It then performs (and repeats) the sequential actions of backing up, rotating and moving forward until it finds a clear path.

This is a good video that has to do with cliff detection .

if a light source is detected on the left of the robot, the left motor will speed and the robot will veer away from the light source.increahttp://gicl.cs.drexel.edu/wiki-data/images/7/72/LearningRoomba-SensorsActuators-StudentsGuide.pdfse