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iRubric: Turtlebot Demo Grading Rubric

iRubric: Turtlebot Demo Grading Rubric

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Turtlebot Demo Grading Rubric 
Rubric Code: KX84233
By mlguerrero
Draft
Public Rubric
Subject: Engineering  
Type: Assessment  
Grade Levels: Undergraduate

Powered by iRubric TurtleBot Demo Grading Rubric
Enter rubric description
  Poor

0 pts

Fair

1 pts

Good

2 pts

Exemplary

3 pts

Obstacle Avoidance

Performance is based on the Turtlebot's ability to avoid both static and slow moving dynamic obstacles.
Poor

Turtlebot would continuously run into obstacles.
Fair

Turtlebot would rarely run into obstacles (less than three incidents).
Good

Turtlebot successfully avoided static obstacles, but not slow moving dynamic obstacles.
Exemplary

Turtlebot sucessfully avoided both static and slow moving dynamic obstacles (no incidents).
Path Planning

Performance is based on the Turtlebot's ability to localize itself on a known map, and follow a path from A to B most directly.
Poor

Turtlebot could not localize itself on the known map, nor follow a given trajectory.
Fair

Turtlebot successfully localized itself on a known map, but did not follow a direct trajectory.
Good

Turtlebot successfully localized itself on a known map, and followed a trajectory from A to the general area B with some diversions/distractions.
Exemplary

Turtlebot successfully localized itself on a known map, and followed a most direct trajectory from A to the general area of B (within 15ft radius).
Accuracy

Performance is based on the Turtlebot's ability to position itself to a specific point on a known map.
Poor

Turtlebot did not move towards a known marked location.
Fair

Turtlebot stopped in the general area of a known marked location (within 15ft radius).
Good

Turtlebot successfully stopped near a known marked location (within 5ft radius).
Exemplary

Turtlebot successfully stopped precisely on a known marked location (within 2ft radius).
Autonomy

Performance is based on the Turtlebot's ability to troubleshoot, navigate, and avoid obstacles by itself once on a given trajectory
Poor

Turtlebot required frequent user input to navigate from A to B (user interacts more than 10 times).
Fair

Turtlebot required frequent user input to navigate from A to B (user interacts between 5 and 10 times).
Good

Turtlebot required minimal user input to navigate from A to B (user interacts less than 5 times).
Exemplary

Turtlebot required no additional user input to navigate from A to B accurately.
Application of Course Content

Performance is based on the Turtlebot's application of course content.
Poor

User could not describe and demonstrate the applied principles of autonomous path planning and navigation.
Fair

User was somewhat able to describe and demonstrate the applied principles of autonomous path planning and navigation.
Good

User was able to describe and demonstrate the applied principles of autonomous path planning and navigation.
Exemplary

User was able to fully describe and demonstrate the applied principles of autonomous path planning and navigation.
SLAM Map Making

Performance is based on the Turtlebot's ability to produce a map of Berndt Hall using SLAM.
Poor

Turtlebot did not produce a SLAM map.
Fair

Turtlebot produced an incomplete Berndt Hall SLAM map.
Good

Turtlebot produced a complete Berndt Hall SLAM map with some gaps, inconsistencies, or "holes."
Exemplary

Turtlebot produced a complete Berndt Hall SLAM map without gaps, inconsistencies, or "holes."




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