Skip to main content

Specifying the Final Project

Learning Objectives​

  • Understand the critical role of comprehensive specification in complex Physical AI projects.
  • Learn how to integrate insights from perception, actuation, and humanoid control into a single system specification.
  • Develop a mindset for breaking down large robotic tasks into modular, testable components using SDD.

Core Concepts​

Chapter 5 is the culmination of our journey. We've explored individual components of Physical AI: sensing, processing, actuation, control, and the unique challenges of humanoid robotics. Now, we'll focus on integrating these components into a full, functioning system. The most crucial first step in any complex integration project is a robust and detailed specification. This lesson will guide you through the process of defining a final project, ensuring that all aspects—from high-level goals to granular component interactions—are clearly articulated before any coding or building begins. This adherence to Spec-Driven Development (SDD) is what makes complex systems manageable.

Elements of a Comprehensive System Specification​

A good specification for an integrated Physical AI system should cover:

  1. High-Level Goal/Mission: What is the robot's ultimate purpose?
    • Example: "Humanoid robot to safely navigate an office environment, identify a coffee cup, pick it up, and deliver it to a designated desk."
  2. Environmental Assumptions & Constraints:
    • Example: "Environment is well-lit, flat floor, no dynamic obstacles other than humans, office doors are always open or easily operable."
  3. Robot Capabilities: What sensors does it have? What actuators? What are its physical limitations (speed, payload, reach)?
    • Example: "Equipped with stereo cameras, LiDAR, IMU. 6-DoF arms with grippers. Max speed 0.5 m/s, max payload 1kg."
  4. Functional Requirements (What the system MUST do):
    • Perception: "Robot MUST detect and localize coffee cups within 2 meters."
    • Navigation: "Robot MUST plan a collision-free path from current location to target desk."
    • Manipulation: "Robot MUST grasp a coffee cup without spilling its contents."
    • Safety: "Robot MUST stop movement immediately if a human enters its safety zone."
  5. Non-Functional Requirements (How well the system performs):
    • Performance: "Delivery task MUST be completed within 5 minutes."
    • Reliability: "Successful delivery rate MUST be 95%."
    • Power Consumption: "Robot MUST operate for 4 hours on a single charge."
  6. Interfaces & Integration Points: How do the different modules (perception, navigation, manipulation, control) communicate?
  7. Failure Modes & Recovery: What happens if a sensor fails? If a path is blocked?

Hands-On Exercise​

Exercise: Specifying a Simulated Humanoid "Mail Delivery" Task

  1. Specification (SDD Phase 1): Imagine your simulated humanoid robot (from Chapter 4) needs to perform a simple "mail delivery" task within a small, known simulated office space.

    • Task: Define the overall mission: What is the robot supposed to do?
    • Task: List the sensory inputs the robot would need (e.g., from cameras, LiDAR, IMUs).
    • Task: List the actions/actuators the robot would use (e.g., legs for walking, arms for picking up mail).
    • Task: Detail at least three distinct functional requirements for this task (e.g., "Robot MUST identify mailboxes," "Robot MUST drop mail into the correct mailbox").
    • Task: Define at least two measurable success criteria for the task (e.g., "90% of mail delivered to correct mailboxes").
    • Task: Identify two potential failure modes and how the robot should react (e.g., "robot drops mail," "path blocked").

  2. Module Decomposition (SDD Phase 2): Based on your specification, propose a high-level breakdown of the robot's software into distinct modules (e.g., "Perception Module," "Navigation Module," "Task Planner"). Describe the primary responsibility of each module.

Summary​

In complex Physical AI, a clear, well-structured specification is the blueprint for success. This lesson emphasizes that defining what the integrated system must achieve, under what conditions, and with what performance metrics, is paramount. By leveraging SDD, we ensure that the integration process is systematic, reducing ambiguity and setting the stage for robust and reliable humanoid robot operation.