Observations of Lego Robot:

First Run:

Time: 1 second

The recorded circumference: 0.1413

Power output of both wheels: 75

RPM’s: 1.52778

Distance traveled: .21 cm

Distance measured with ruler: 27 cm

Percent Error: 22.22%

Second Run:

Time: 1 second

Power output of wheels: 90

RPM’s: 1.72778

Distance recorded: .24413cm

Distance measured with ruler: .28cm

Percent Error: 14.29%

After running both experiments, I observed that the more powerful the wheel output is the less percent error occurs. Some discrepancies that may have occurred could be measurement of distance with the ruler, the wheels may have ran longer than one total second, and the measurement on the circumference could have been bigger or smaller than actual measurement.

Why this is important: it is important because this is an example of how car engineers use robotics to identify ways to manufacture cars to be more energy efficient. Although we did a much smaller scale with Lego’s, the same concepts apply to real-life examples that scientist perform everyday. Understanding how to conduct and properly analyze data will be useful for any student looking to get a job in the energy sector.