Goals:
  • Find the relationship between wheel size, motor rotations, and distance traveled by the whole robot
  • Develop a procedure that allows you to convert a linear distance into motor rotations so your robot can move a precise distance you have measured
  • Implement positive teaming, collaboration and interpersonal skills into the group dynamic
  • Teams will plan, prioritize, and manage for results
  • Teams will be adaptable, strive to manage complexity, and operate under self-direction


Wheels and Distance - Group Roles:
(No Last Names & each member should have a different job than the last activity)

Role
Name
Project Manager -
Helen
Programmer -
Marshall
Materials/Quality Control-
Helen
Communications/Scribe -
Cory


Condition 1.2 - Measure & Predict :


Item
Big wheel
Wheel Diameter
5.6000 cm
Circumference of wheel (C=d*Pi)
17.59cm
Number of Motor rotations (360º = 1 rotation)
2 rotations
Predicted distance of travel
35.18 cm

Condition 1.3 - Run and Measure


Following the directions, set up a starting point for your Taskbot, however, use a tape measure (not a yard stick). Post a video in the table showing your Taskbots three trials. In the same three columns, post the three distances traveled. Finally, average your trials.


Taskbot video
Trial 1
Trial 2
Trial 3
Average of Trials

35cm

35cm

35cm

Average
Distance
= 35cm


Condition 1.4 - Evaluation:


  1. Look at the data in your table (Condition 1.3).
  2. Did the robot go the exact same distance in all three trials? Yes.
  3. What are some possible reasons for these results? The robot was programmed to go the same exact distance every time.
  4. Calculate the average distance that the robot went with these wheels and this program [Average Distance = (distance 1 + distance 2 + distance 3)/3]. 35 cm.
  5. Compare the average to the predicted distance from Table 1.2.
  6. Was the average of the distances you measured close to what Dr.Turner’s hypothesis predicted it would be? Yes.
    Does this support the hypothesis? Why or why not? Is this set of trials alone enough to prove or disprove how valid the hypothesis is, in general?
    This supports the hypothesis because it was only 0.18 cm off of our real measurement. (Could be human error) In general, yes. The hypothesis is sometimes even more accurate due to math and no human error. It is enough to prove because the robot will go the same distance every time.

Condition 2.2 - Measure & Predict : (You are changing the wheels you use. Be sure you have the correct set)


Item
Small wheel
Wheel Diameter
3.000cm
Circumference of wheel (C=d*Pi)
9.42cm
Number of Motor rotations (360º = 1 rotation)
2 rotations
Predicted distance of travel
18.84cm

Run and Measure (Again, video these trials)

Taskbot video
Trial 1
Trial 2
Trial 3
Average of Trials

20cm

18cm

18cm

Average Distance
= 18.66cm

Condition 2.3 - Evaluation:



  1. What is the average distance the robot ran with these wheels? Is this average a good representation of the data you gathered in this Condition, or does the data look nothing like the average?
    1. Look at the data in your table.
      i. Were the average measured distances about what Dr. Turner’s hypothesis
      predicted they would be? Not exactly. But it was close enough. The hypothesis was 18.84cm, but our average was 18.66cm.
    2. ii. Do you think you have enough evidence to reasonably accept or reject
      how valid the hypothesis is now? Yes, we have enough evidence because we did 6 trials with different sized wheels. Plus we have video evidence and calculations.
      iii. If so, do you accept or reject it? If you are not sure, what additional testing
      could you do to help you decide? We accept it because both times it was close enough for it to simply be human error as the difference.