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Evaluation & Validation

Validate and evaluate your capstone project.

Testing Framework​

Unit Tests​

Test individual components in isolation:

def test_object_detection():
    # Test perception module
    assert model.predict(test_image) is not None

Integration Tests​

Test component interactions:

def test_manipulation_pipeline():
    # Test perception → planning → control
    assert robot.grasp_object(target) == SUCCESS

System Tests​

Test end-to-end functionality:

def test_full_task_execution():
    # Test complete task from start to finish
    assert robot.execute_task(instructions) == COMPLETED

Performance Metrics​

  • Accuracy: Detection/classification accuracy (%)
  • Latency: End-to-end task completion time (seconds)
  • Robustness: Success rate across variations (%)
  • Safety: Constraint violations and near-misses

Documentation​

Document your findings in:

  • Project report (10-15 pages)
  • Technical presentation deck
  • Code repository with README
  • Video demonstration