Motors that obey. A sensor that measures. A screen that reports. A loop that decides.
Ten sessions from here, your team has a robot that gets itself across a room without anyone touching it.
Two Events
The Obstacle Course — timed runs on a marked course. This is the one that is graded, because it produces real numbers about your own robot.
The Sumo Ring — head to head, last one in the circle wins. Not graded. Purely for the glory.
The Trap
# This is not autonomy. It is a guess with a timer.
drive(SPEED, SPEED)
time.sleep(3)
drive(-SPEED, SPEED)
time.sleep(0.5)
drive(SPEED, SPEED)
time.sleep(3)
This might finish the course. Once. On a good day. It is not autonomous — it is a guess with a timer, and it does not meet the bar.
The Bar
# This is autonomy. It reads the world and decides.
whileTrue:
cm =read_distance()
if cm >0and cm < STOP_CM:
back_away()
else:
drive(SPEED, SPEED)
Your rover has to read the world and decide. Move the obstacles and it should still work, because it was never relying on where they used to be.
Where the Design Choices Are
Chassis — the shape decides what it can push and shove past
Sensor placement — where it looks decides what it can see
Strategy — careful and slow, or fast and reactive
Extras — screen, sound, lights, team colors
Two teams with identical parts should not end up with the same robot.
Nobody Will Tell You the Numbers
How close is too close. How long to reverse. How far to turn. How fast to go.
You will find them the way you found a light threshold in 2.10: try, watch, change one thing, try again. And you will write down what you tried, because that record is a graded part of this project.
What Gets Graded
Your design packet — research, chassis drawing, feature plan
The rover itself, and whether it does what you said it would
Your obstacle course data, and what you concluded from it
Your task journal, kept as you go
Your own individual reflection
'F' → Fullscreen
The Two Events
Event 1: The Obstacle Course — graded
A marked lane with obstacles placed across it, and a finish line.
Your rover starts on a button press and runs with nobody touching it.
Several teams run at once, so you get plenty of attempts rather than one nervous go.
Recorded each run: whether it finished, how long it took, and how many times it made contact with an obstacle.
Obstacles get moved between rounds. A rover that memorized the course will fail, and that is the point — the event is testing whether it senses, not whether it remembers.
Event 2: The Sumo Ring — not graded
Two rovers, one circle. Last one still inside wins.
Refereed by hand. No line sensors needed.
Run after the graded event, on the last day.
This is deliberately not part of your grade. Whether you win a wrestling match depends mostly on who you were drawn against, which is a poor way to measure your engineering. Build for the course; enjoy the ring.
Writing Your Success Criteria
Every team writes its own. A success criterion has to be something you can check and get a yes or no — not an opinion about how good the robot is.
Not success criteria:
"The rover works well"
"It avoids obstacles"
"It is fast"
Success criteria:
"The rover does not move until the button is pressed"
"It stops before touching an obstacle in at least 8 of 10 approaches"
"Placed in a corner, it gets out within 15 seconds"
"It crosses the course in under 45 seconds with no contacts"
"The screen always shows whether it is driving or blocked"
The difference is that you can run the rover and find out. That is what makes Event 1 gradeable, and it is what your final evaluation gets measured against — so write criteria you are willing to be judged on.
The Complexity Bar
Your rover's program must genuinely use what this unit taught. Specifically, all four of these:
A sense–decide–act loop. The rover reads the distance and chooses what to do, every time round.
Sensing that actually drives the decision. Moving an obstacle changes the behavior.
Functions with parameters — drive(left, right), read_distance(), and at least one behavior of your own like back_away().
Named constants you tuned, with the tuning recorded in your journal.
A rover that drives a fixed timed sequence does not meet this bar, however neatly it is written and however often it happens to finish. Neither does one whose sensor is read but ignored. If moving the obstacles does not change what your robot does, it is not sensing.
One specific thing to get right: your distance function returns -1 when nothing is in range, and -1 is less than any threshold you pick. Guard it, or your rover will back away from empty space forever.
The MYP Criteria, In This Project
A — Inquiring and Analysing: what your rover needs to do and why, three real robot drive or sensing approaches you looked at, and your success criteria.
B — Developing Ideas: more than one chassis idea considered, the one you chose and why, and an accurate drawing of it — your cutting file counts.
C — Creating the Solution: the build and the code, your work plan, and an honest account of what you changed once real testing started.
D — Evaluating: your obstacle course data measured against your own success criteria, what you would change, and your individual reflection.
Criterion B is where a laser-cut chassis earns real marks: a vector drawing with dimensions is exactly the kind of planning artifact the criterion asks for. Criterion D is where Event 1 earns them — you will have actual numbers rather than an impression.
Task Journal
One entry per work session: what you did, who did it, what went wrong, what is next. Fill it in as you go. A journal reconstructed the night before is obvious to read and worth very little.
This project has one extra journal requirement. Every time you change a tuning constant, log the old value, the new value, and what actually happened. Change one at a time. Four interacting numbers changed together tell you nothing about which one mattered.
Timeline
Session
What happens
Criterion
1
Launch, teams, success criteria
A
2
Research three real approaches; concept sketches
A, B
3
Chassis design and cutting file — design packet checkpoint
B
4
Assembly: motors, wheels, battery, secure the wiring
C
5
Drive testing and calibration
C
6
Mount the sensor; tune detection distance
C
7
Autonomy: the sense–decide loop on your robot
C
8
Showcase features and practice runs
C
9
Event 1: Obstacle Course — graded runs
D
10
Event 2: Sumo Tournament, then final reflection
D
The stock baseplate from the kit is a perfectly good chassis. A custom cut one is an upgrade, not a requirement — so a cutting problem in session 3 or 4 cannot sink your project.
What You'll Turn In
Design packet — problem and need, the three approaches you researched, success criteria, chassis drawing, feature plan
Your code, as the file that actually ran in Event 1
Obstacle course data — your runs, times, and contacts, checked against your success criteria
Tuning log — what you changed, and what it did
Task journal — kept throughout, one entry per session
Individual reflection — written by you, not by your group