by tempusmaster » Sun Oct 01, 2006 1:58 pm
by tempusmaster
Sun Oct 01, 2006 1:58 pm
Pev wrote:Am currently using one for directional information on a tracked bot. Has been interesting to say the least and I would strongly recommend that you calibrate it to make it work accurately
Pev
Calibration seems to be absolutely critical. For example, there were several autonomous events on the schedule during the August ROBO-ONE Special competition.
For the Sprint, you had to lay the robot down in a prone position facing away from the course. It had to stand up, turn around, and race down the course as quickly as possible.
For the Ball competition, also autonomous, the robots had to pick up a ball from the end of a stick, turn around, take a couple of steps forward, then try to hit the center of the target.
Several of the robots used compass sensors with varying degrees of success. The one that did the best at it was Pento. The sensor appears to be designed into the top of the robots head, and the operator spent quite a bit of time adjusting it and calibrating before each competition. The extra care and time really paid off. Pento ended up coming in 2nd place in both events. It would have won the sprint since it was dead on target, but was just a little too slow at walking/running.
Pev wrote:Am currently using one for directional information on a tracked bot. Has been interesting to say the least and I would strongly recommend that you calibrate it to make it work accurately
Pev
Calibration seems to be absolutely critical. For example, there were several autonomous events on the schedule during the August ROBO-ONE Special competition.
For the Sprint, you had to lay the robot down in a prone position facing away from the course. It had to stand up, turn around, and race down the course as quickly as possible.
For the Ball competition, also autonomous, the robots had to pick up a ball from the end of a stick, turn around, take a couple of steps forward, then try to hit the center of the target.
Several of the robots used compass sensors with varying degrees of success. The one that did the best at it was Pento. The sensor appears to be designed into the top of the robots head, and the operator spent quite a bit of time adjusting it and calibrating before each competition. The extra care and time really paid off. Pento ended up coming in 2nd place in both events. It would have won the sprint since it was dead on target, but was just a little too slow at walking/running.