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Capstone Project Evaluation Criteria

The Capstone Project serves as the ultimate demonstration of a learner's mastery of the concepts and skills acquired throughout the "Physical AI & Humanoid Robotics Course." This document outlines the clear evaluation criteria used to assess the project's success, focusing on functionality, robustness, adherence to requirements, and the quality of technical documentation.

1. Overall Evaluation Objectives​

The Capstone Project evaluation aims to:

  • Verify the successful integration of all learned modules (ROS 2, Digital Twin, AI-Robot Brain, VLA Robotics).
  • Assess the learner's ability to apply theoretical knowledge to a practical, autonomous robotics task.
  • Determine the project's functionality and robustness in a simulated environment.
  • Evaluate the clarity and completeness of the learner's technical documentation and code.

2. Functional Requirements (40% of Score)​

Assessment of whether the autonomous humanoid successfully performs the core tasks as specified in the Capstone Project narrative (overview.mdx).

2.1. Voice Input Pipeline (FR-CAP-002)​

  • Criterion: The system can correctly interpret a defined set of voice commands.
  • Assessment: Successful conversion of voice commands to text and subsequent high-level instruction interpretation by an LLM.

2.2. Cognitive Planning Pipeline (FR-CAP-003)​

  • Criterion: The system can break down complex high-level commands into a logical sequence of sub-tasks.
  • Assessment: Demonstration of a valid action sequence generated by the planner in response to a complex command.

2.3. Navigation Pipeline (FR-CAP-004)​

  • Criterion: The humanoid can autonomously navigate to specified locations within the simulated environment.
  • Assessment: Accurate movement to target waypoints, obstacle avoidance, and path adherence.

2.4. Object Identification & Manipulation Pipeline (FR-CAP-005)​

  • Criterion: The humanoid can identify target objects visually and perform successful manipulation (e.g., pick, place).
  • Assessment: Correct object recognition, successful grasping, precise placement, and smooth arm movements.

3. Robustness and Error Handling (30% of Score)​

Assessment of the project's stability, reliability, and ability to handle unexpected situations within the simulated environment.

  • Criterion: The system exhibits stable behavior under varying conditions (e.g., slight object displacement, minor sensor noise).
  • Assessment: Minimal failures during repeated task executions; graceful recovery from minor perturbations; absence of unhandled exceptions or crashes.
  • Criterion: Appropriate error detection and (conceptual) recovery mechanisms are in place for failed sub-tasks (e.g., failed grasp, navigation timeout).
  • Assessment: Logging of errors; conceptual re-planning or retry mechanisms when a sub-task fails.

4. Code Quality and Documentation (20% of Score)​

Assessment of the clarity, structure, and maintainability of the codebase, along with the completeness of the project documentation.

  • Criterion: Code is well-structured, modular, and adheres to Python best practices (PEP 8).
  • Assessment: Clear function/class design; appropriate use of comments; readable variable names.
  • Criterion: ROS 2 nodes follow established conventions (e.g., topic/service naming, message types).
  • Assessment: Consistent ROS 2 interface design.
  • Criterion: Technical documentation (overview.mdx, code comments) clearly explains the design, implementation, and usage of the Capstone project.
  • Assessment: Detailed overview, clear setup instructions, explanation of key components and their interactions.

5. Innovation and Creativity (10% of Score)​

Assessment of any novel approaches, unique features, or extensions beyond the basic requirements.

  • Criterion: Demonstrates original thought, creative problem-solving, or advanced application of learned concepts.
  • Assessment: Introduction of additional features (e.g., advanced human-robot interaction, multi-robot coordination, more complex perception tasks), or a particularly elegant solution to a challenge.

Final Verdict: "Safe to continue" or "Fix required before Phase 6" (Not Applicable here)​

This section is typically for agent-side assessment. For learners, a score based on the above criteria would be provided.