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