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Physical AI & Humanoid Robotics

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Topic 3 — Implementation Roadmap & Milestones

With a clear brief and system architecture, the next challenge is time. This topic helps you break your capstone into realistic phases, choose high-leverage tasks first, and continuously de‑risk integration so you are not debugging everything in the final week.


3.1 Phasing Your Project

A practical capstone roadmap often follows four phases:

  1. Skeleton Phase (Week 1):
    • Set up repository, ROS 2 packages, and simulation world.
    • Implement “hello world” versions of each major subsystem (perception stub, planner stub, controller stub).
    • Verify launch files start the full stack without crashing.
  2. Feature Phase (Weeks 2–3):
    • Implement core features for perception, navigation, planning, and interaction.
    • Focus on the happy path for your primary demo scenario.
  3. Robustness Phase (Week 3–4):
    • Add failure handling, retries, and basic monitoring/logging.
    • Address obvious bugs from early testing; stabilize core behavior.
  4. Polish & Demo Phase (Final Week):
    • Improve demo script, visuals, and documentation.
    • Avoid introducing large new features; focus on reliability and clarity.

Adapt these phases to your schedule, but keep the “skeleton first, polish last” principle.


3.2 Milestones & Checkpoints

Define concrete milestones with dates and testable outcomes:

  • Milestone 1 — Stack Boots Successfully:
    • All key nodes launch and communicate in simulation.
    • Robot can move using basic teleoperation or scripted commands.
  • Milestone 2 — End-to-End Happy Path:
    • Given a simple command, the system completes a basic mission in simulation.
    • Perception → planning → control all participate.
  • Milestone 3 — Robustness & Recovery:
    • Basic failure modes (blocked paths, missing detections) trigger safe fallbacks.
    • Logs and metrics can be inspected to understand behavior.
  • Milestone 4 — Final Demo & Report Ready:
    • Demo script executed multiple times successfully.
    • Documentation and slides (or report) drafted and reviewed.

Each milestone should be small enough to verify objectively (success/failure) rather than “feel” complete.


3.3 Task Breakdown & Ownership

Break milestones into tasks that can be assigned and tracked:

  • Group tasks by subsystem:
    • Perception, localization/mapping, planning, control, UX/logging, infrastructure.
  • For each task, define:
    • Owner (person or pair).
    • Estimated effort (e.g., 2–4 hours, 1 day).
    • Dependencies on other tasks.

Use a lightweight tool (GitHub issues, Kanban board, checklist in your repo) to track progress and avoid “hidden work.”


3.4 Risk Management

Identify high-risk elements early (new libraries, complex behaviors, multi-agent coordination, LLM integration) and front-load:

  • Prototype risky components in small, isolated scripts or mini-labs.
  • If a risk proves too large, adjust scope before it sinks the whole project:
    • Simplify the environment.
    • Reduce the number of robots.
    • Remove non-essential integrations.

Make conscious trade-offs and record them in your project notes.


3.5 Mini-Lab: Build Your Roadmap

Goal: Produce a realistic, time-bound implementation plan.

Tasks

  1. Translate your architecture into 3–5 milestones and 15–30 concrete tasks.
  2. Assign owners and dates for each task (even if working solo).
  3. Identify at least three major risks and write a mitigation plan for each.
  4. Commit your roadmap as a markdown file in your repository.

Deliverables

  • Roadmap document with phases, milestones, and tasks.
  • Short risk assessment with mitigation strategies.

Summary

A thoughtful roadmap keeps your capstone on track and de-risked, turning an ambitious goal into a sequence of achievable steps. In the next topic, you will focus on testing, evaluation, and demo preparation to ensure your final presentation matches the quality of the underlying engineering.